Please wait a moment until all data is loaded. This message will disappear when all data is loaded.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
(E)-2-methyl-2-butenenitrile + H2O
(E)-2-methyl-2-butenoic acid + NH3
1,4-dicyano-2-butene + H2O
?
-
42.6% of the activity with crotononitrile
-
-
?
1,4-dicyanobutane + H2O
?
114.3% activity compared to 3-cyanopyridine
-
-
?
1,8-dicyanooctane + H2O
?
114.3% activity compared to 3-cyanopyridine
-
-
?
1-cyclohexeneacetonitrile + H2O
1-cyclohexene carboxylate + NH3
-
18.2% of the activity with crotononitrile
-
-
?
1-cyclopenteneacetonitrile + H2O
1-cyclopentene carboxylate + NH3
-
24.9% of the activity with crotononitrile
-
-
?
2 fumarodinitrile + 3 H2O
3-cyanoacrylamide + 3-cyanoacrylic acid + NH3
11% compared to the activity with 3-hexenedinitrile. Fumarodinitrile is converted to the monocarboxylate and the monocarboxamide in a ratio of about 65:35
-
-
?
2,4-dicyano-1-butene + H2O
?
-
127% of the activity with crotononitrile
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
2-aminocrotononitrile + H2O
2-aminocrotonic acid + NH3
2-butenenitrile + H2O
2-butenic acid + NH3
worst substrate
-
-
?
2-butenenitrile + H2O
2-butenoic acid + NH3
-
-
-
-
?
2-chloroacrylonitrile + H2O
2-chloroacrylic acid + NH3
-
47.1% of the activity with crotononitrile
-
-
?
2-chloropropionitrile + 2 H2O
2-chloropropionic acid + NH3
86% compared to the activity with 3-hexenedinitrile
-
-
?
2-cyanopyridine + 2 H2O
2-pyridine carboxylic acid + NH3
-
-
-
?
2-cyanopyridine + 2 H2O
pyridine 2-carboxylic acid + NH3
2-furonitrile + H2O
furoic acid + NH3
-
52.0% of the activity with crotononitrile
-
-
?
2-hydroxy-3-butenenitrile + 2 H2O
2-hydroxybut-3-enoic acid + NH3
8% compared to the activity with 3-hexenedinitrile
-
-
?
2-hydroxybutyronitrile + H2O
2-hydroxybutyrate + NH3
3% compared to the activity with 3-hexenedinitrile
-
-
?
2-methyl-2-butenenitrile + H2O
2-methyl-2-butenoic acid + NH3
-
14.9% of the activity with crotononitrile
-
-
?
2-methyl-3-butenenitrile + 2 H2O
2-methyl-but-3-enoic acid + NH3
3% compared to the activity with 3-hexenedinitrile
-
-
?
2-methyl-3-butenenitrile + H2O
2-methyl-3-butenoic acid + NH3
-
46.8% of the activity with crotononitrile
-
-
?
2-methyleneglutarodinitrile + H2O
? + NH3
11% compared to the activity with 3-hexenedinitrile. 2-Methyleneglutarodinitrile is mainly converted to the corresponding monocarboxylic acid , but also some traces of the monoamide are formed
-
-
?
2-methylglutaronitrile + 2 H2O
4-cyanopentanoic acid + NH3
2-methylglutaronitrile + 4 H2O
2-methylglutarate + 2 NH3
23.3% activity compared to 3-cyanopyridine
-
-
?
2-methylglutaronitrile + 4 H2O
2-methylglutaric acid + 2 NH3
2-pentenenitrile + H2O
2-pentenoic acid + NH3
-
6.33% of the activity with crotononitrile
-
-
?
2-phenylbutyronitrile + 2 H2O
2-phenylpropionic acid + NH3
-
activity is 11% compared to activity with 3-cyanopyridine
-
-
?
2-phenylpropionitrile + 2 H2O
2-phenylpropionic acid + NH3
-
-
-
?
2-thiopheneacetonitrile + H2O
thiophene-2-carboxylate + NH3
-
73.5% of the activity with crotononitrile
-
-
?
2-thiophenecarbonitrile + H2O
2-thiophenecarboxylate + NH3
-
61.1% of the activity with crotononitrile
-
-
?
3,3'-oxydipropionitrile + H2O
? + NH3
-
29.0% of the activity with crotononitrile
-
-
?
3-aminobutyronitrile + H2O
3-aminobutyric acid + NH3
201% activity compared to benzonitrile
-
-
?
3-aminopropionitrile + 2 H2O
beta-alanine + NH3
3-butenenitrile + H2O
3-butenoic acid + NH3
-
-
-
-
?
3-chloropropionitrile + H2O
3-chloropropanoate + NH3
-
113% of the activity with crotononitrile
-
-
?
3-cyanopyridine + 2 H2O
nicotinic acid + NH3
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
3-cyanopyridine + H2O
3-carboxypyridine + NH3
3-ethoxyacrylonitrile + H2O
3-ethoxyacrylic acid + NH3
3-ethoxybenzonitrile + H2O
3-ethoxybenzoate + NH3
-
21.1% of the activity with crotononitrile
-
-
?
3-hexenedinitrile + H2O
? + NH3
-
-
-
?
3-hydroxyglutaronitrile + 4 H2O
3-hydroxyglutaric acid + 2 NH3
-
activity is 38% compared to activity with 3-cyanopyridine
-
-
?
3-hydroxypropionitrile + 2 H2O
3-hydroxypropionitrile + NH3
-
activity is 1.5fold higher compared to activity with 3-cyanopyridine
-
-
?
3-methoxybenzonitrile
3-methoxybenzoate + NH3
-
24.8% of the activity with crotononitrile
-
-
?
3-nitrobenzonitrile + H2O
3-nitrobenzoate + NH3
-
74.5% of the activity with crotononitrile
-
-
?
3-nitrobenzonitrile + H2O
3-nitrobenzoic acid + NH3
110% activity compared to benzonitrile
-
-
?
3-pentenenitrile + H2O
3-pentenoic acid + NH3
-
132% of the activity with crotononitrile
-
-
?
3-phenylpropionitrile + 2 H2O
3-phenylpropionic acid + NH3
3-phenylpropionitrile + H2O
3-phenylpropanoate + NH3
147.3% activity compared to 3-cyanopyridine
-
-
?
3-phenylpropionitrile + H2O
3-phenylpropionic acid + NH3
3-phenylpropionitrile + H2O
?
59% activity compared to glutaronitrile
-
-
?
3-thiopheneacetonitrile + H2O
thiophene-3-carboxylate + NH3
-
66.3% of the activity with crotononitrile
-
-
?
3-tolunitrile + H2O
3-methylbenzenecarboxylic acid + NH3
-
67.9% of the activity with crotononitrile
-
-
?
3-xylylene dicyanide + H2O
?
-
14.62% of the activity with crotononitrile
-
-
?
4-aminobenzonitrile + 2 H2O
4-aminobenzoic acid + NH3
57.6% compared to the activity with 3-cyanopyridine
-
-
?
4-aminobutyronitrile + H2O
4-aminobutyric acid + NH3
251% activity compared to benzonitrile
-
-
?
4-chlorobutyronitrile + 2 H2O
4-chlorobutanoic acid + NH3
4-chlorobutyronitrile + 2 H2O
4-chlorobutyric acid + NH3
-
activity is 1.49fold higher compared to activity with 3-cyanopyridine
-
-
?
4-chlorobutyronitrile + H2O
4-chlorobutyrate + NH3
4-cyano-1-cyclohexene + H2O
1-cyclohexene-4-carboxylate + NH3
-
7.03% of the activity with crotononitrile
-
-
?
4-cyanopyridine + 2 H2O
4-pyridinecarboxylic acid + NH3
4-cyanopyridine + 2 H2O
pyridine 4-carboxylic acid + NH3
4-cyanopyridine + H2O
4-carboxypyridine + NH3
-
9.71% of the activity with crotononitrile
-
-
?
4-nitrobenzonitrile + H2O
4-nitrobenzoic acid + NH3
151% activity compared to benzonitrile
-
-
?
acetonitrile + 2 H2O
acetic acid + NH3
19.1% compared to the activity with 3-cyanopyridine
-
-
?
acetonitrile + H2O
?
5% activity compared to glutaronitrile
-
-
?
acetonitrile + H2O
acetate + NH3
acetonitrile + H2O
acetic acid + NH3
-
-
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
acrylonitrile + H2O
acrylate + NH3
acrylonitrile + H2O
acrylic acid + NH3
adipamide + H2O
?
-
-
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
adiponitrile + H2O
adipate + NH3
adiponitrile + H2O
adipic acid + NH3
allylcyanide + 2 H2O
but-3-enoic acid + NH3
12% compared to the activity with 3-hexenedinitrile
-
-
?
aminoacetonitrile + H2O
aminoacetic acid + NH3
benzamide + H2O
?
-
-
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
benzonitrile + 2 H2O
benzoic acid + NH3
beta-cyano-L-alanine + H2O
asparagine + aspartic acid
-
60:40 mixture
-
?
butyronitrile + 2 H2O
butyric acid + NH3
butyronitrile + H2O
?
6% activity compared to glutaronitrile
-
-
?
butyronitrile + H2O
butyrate + NH3
butyronitrile + H2O
butyric acid + NH3
capronitrile + H2O
hexanoate + NH3
-
38.7% of the activity with crotononitrile
-
-
?
chloroacetonitrile + H2O
chloroacetate + NH3
-
61.7% of the activity with crotononitrile
-
-
?
cinnamonitrile + 2 H2O
cinnamic acid + NH3
-
activity is 8fold higher compared to activity with 3-cyanopyridine
-
-
?
cinnamonitrile + H2O
cinnamate + NH3
cis-crotononitrile + H2O
crotonic acid + NH3
crotonitrile + H2O
?
7% activity compared to glutaronitrile
-
-
?
crotonitrile + H2O
crotonic acid + NH3
cyano-5-valeramide + H2O
glutaric acid 5-amide + NH3
-
at 28% of the activity with adiponitrile
-
-
?
cyano-5-valeric acid + H2O + H2O
?
-
at 28% of the activity with adiponitrile
-
-
?
cyanoacetic acid ethyl ester + H2O
acetic acid ethyl ester + NH3
-
117% of the activity withcrotononitrile
-
-
?
cyanopyrazine + H2O
pyrazine-2-carboxylate + NH3
-
17.3% of the activity with crotononitrile
-
-
?
cyclopentanecarbonitrile + H2O
cyclopentanoic acid + NH3
-
11.7% of the activity with crotononitrile
-
-
?
cyclopentanocarbonitrile + H2O
cyclopentanocarbonate + NH3
-
-
-
-
?
cyclopropanecarbonitrile + H2O
cyclopropanoic acid + NH3
-
22.9% of the activity with crotononitrile
-
-
?
diaminomaleonitrile + H2O
diaminomaleic acid + NH3
-
18.6% of the activity with crotononitrile
-
-
?
dimethylaminopropionitrile + 2 H2O
dimethylaminopropionic acid + NH3
50.5% compared to the activity with 3-cyanopyridine
-
-
?
dimethylmalononitrile + H2O
dimethylmalonic acid + NH3
-
-
-
-
?
diphenylacetonitrile + H2O
diphenylacetic acid + NH3
72% activity compared to benzonitrile
-
-
?
dodecanenitrile + 2 H2O
dodecanoic acid + NH3
-
activity is 2.46fold higher as compared to activity with 3-cyanopyridine
-
-
?
dodecanenitrile + H2O
dodecanoate + NH3
13.5% activity compared to 3-cyanopyridine
-
-
?
fumaronitrile + 4 H2O
fumaric acid + 2 NH3
fumaronitrile + H2O
fumarate + NH3
fumaronitrile + H2O
fumaric acid + NH3
glutaramide + H2O
?
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
glutaronitrile + H2O
glutaric acid + NH3
glycolonitrile + 2 H2O
glycolic acid + NH3
glycolonitrile + H2O
ammonium glycolate + ?
heptanenitrile + H2O
heptanoic acid + NH3
-
-
-
-
?
hexanedinitrile + 2 H2O
?
111% compared to the activity with 3-cyanopyridine
-
-
?
hexanenitrile + H2O
hexanoic acid + NH3
-
-
-
-
?
hydrocinnamonitrile + H2O
hydrocinnamic acid + NH3
-
-
-
-
?
iminodiacetonitrile + 2 H2O
iminodiacetic acid + 2 NH3
iminodiacetonitrile + 2 H2O
iminodiacetic acid + NH3
-
activity is 2.34fold higher as compared to activity with 3-cyanopyridine
-
-
?
iminodiacetonitrile + 4 H2O
iminodiacetic acid + 2 NH3
-
activity is 39% compared to activity with 3-cyanopyridine
-
-
?
indole-3-acetonitrile + 2 H2O
indol-3-acetic acid + NH3
-
activity is 48% compared to activity with 3-cyanopyridine
-
-
?
isobutyramide + H2O
?
-
-
-
-
?
isobutyronitrile + H2O
isobutyrate + NH3
isobutyronitrile + H2O
isobutyric acid + NH3
-
-
-
-
?
isocapronitrile + H2O
isohexanoate + NH3
-
41.5% of the activity with crotononitrile
-
-
?
isophthalonitrile + H2O
isophthalate + NH3
-
66.1% of the activity with crotononitrile
-
-
?
isovaleronitrile + H2O
isovaleric acid + NH3
-
-
-
-
?
m-tolunitrile + H2O
m-methylbenzoate + NH3
-
-
-
?
malonitrile + H2O
malonic acid + NH3
-
-
-
-
?
malononitrile + 2 H2O
malonic acid + NH3
120.5% compared to the activity with 3-cyanopyridine
-
-
?
malononitrile + H2O
malonic acid + NH3
mandelonitrile + 2 H2O
mandelic acid + NH3
metacrylonitrile + H2O
metacrylic acid + NH3
-
-
-
-
?
methacrylonitrile + H2O
methacrylic acid + NH3
methoxyacetonitrile + H2O
methoxyacetate + NH3
-
37.4% of the activity with crotononitrile
-
-
?
N-butyronitrile + 2 H2O
N-butyric acid + NH3
N-methyl-beta-alaninenitrile + H2O
N-methyl-beta-Ala + NH3
-
11.4% of the activity with crotononitrile
-
-
?
pentanenitrile + 2 H2O
pentanoic acid + NH3
pentanenitrile + H2O
pentanoate + NH3
62% activity compared to 3-cyanopyridine
-
-
?
phenylacetonitrile + 2 H2O
phenylacetate + NH3
-
27.3% of the activity with crotononitrile
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
pimelonitrile + 4 H2O
pimelic acid + 2 NH3
-
activity is 85% compared to activity with 3-cyanopyridine
-
-
?
pimelonitrile + H2O
pimelic acid + NH3
-
27.3% of the activity with crotononitrile
-
-
?
piperonylonitrile + H2O
(3,4-methylenedioxy)benzoate + NH3
-
6.8% of the activity with crotononitrile
-
-
?
potassium cyanide + H2O
?
-
-
-
-
?
propionitrile + 2 H2O
propionic acid + NH3
33.2% compared to the activity with 3-cyanopyridine
-
-
?
propionitrile + H2O
?
5% activity compared to glutaronitrile
-
-
?
propionitrile + H2O
propionate + NH3
propionitrile + H2O
propionic acid + NH3
R-CN + H2O
R-COOH + NH3
-
enzyme uses both aliphatic and aromatic nitriles, no formation of amide intermediate
-
-
?
racemic Ibu-CN + 2 H2O
ibuprofen + NH3
sebaconitrile + 4 H2O
sebaconic acid + 2 NH3
sebaconitrile + H2O
? + NH3
sebaconitrile + H2O
sebaconic acid + NH3
-
-
-
-
?
suberonitrile + H2O
decanedioic acid + NH3
-
21.4% of the activity with crotononitrile
-
-
?
succinamide + H2O
?
-
-
-
-
?
succinodinitrile + H2O
?
-
-
-
-
?
succinonitrile + 2 H2O
succinic acid + NH3
137.7% compared to the activity with 3-cyanopyridine
-
-
?
succinonitrile + 4 H2O
succinic acid + 2 NH3
succinonitrile + H2O
succinate + NH3
succinonitrile + H2O
succinic acid + NH3
thiophene-3-carbonitrile + 2 H2O
thiophene-3-carboxylic acid + NH3
-
activity is 2.42fold higher as compared to activity with 3-cyanopyridine
-
-
?
thiophene-3-carbonitrile + H2O
?
51.2% activity compared to 3-cyanopyridine
-
-
?
trans-crotononitrile + H2O
crotonic acid + NH3
valeronitrile + 2 H2O
valeric acid + NH3
-
activity is 99% compared to activity with 3-cyanopyridine
-
-
?
valeronitrile + H2O
pentanoate + NH3
-
40.8% of the activity with crotononitrile
-
-
?
valeronitrile + H2O
valeric acid + NH3
additional information
?
-
(E)-2-methyl-2-butenenitrile + H2O
(E)-2-methyl-2-butenoic acid + NH3
-
regioselective hydrolysis, no detectable conversion of (Z)-2-methyl-2-butenenitrile
-
-
?
(E)-2-methyl-2-butenenitrile + H2O
(E)-2-methyl-2-butenoic acid + NH3
-
regioselective hydrolysis, no detectable conversion of (Z)-2-methyl-2-butenenitrile
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
-
-
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
-
-
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
-
-
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
-
-
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
-
-
-
-
?
2,6-dichlorobenzonitrile + H2O
2,6-dichlorobenzamide + ?
-
-
-
-
?
2-aminocrotononitrile + H2O
2-aminocrotonic acid + NH3
-
30.3% of the activity with crotononitrile
-
-
?
2-aminocrotononitrile + H2O
2-aminocrotonic acid + NH3
-
30.3% of the activity with crotononitrile
-
-
?
2-cyanopyridine + 2 H2O
pyridine 2-carboxylic acid + NH3
-
activity is 3.35fold higher compared to activity with 3-cyanopyridine
-
-
?
2-cyanopyridine + 2 H2O
pyridine 2-carboxylic acid + NH3
110% activity compared to benzonitrile
-
-
?
2-cyanopyridine + 2 H2O
pyridine 2-carboxylic acid + NH3
-
low activity
-
-
?
2-cyanopyridine + 2 H2O
pyridine 2-carboxylic acid + NH3
second best substrate
-
-
?
2-methylglutaronitrile + 2 H2O
4-cyanopentanoic acid + NH3
-
activity is 10% compared to activity with 3-cyanopyridine
-
-
?
2-methylglutaronitrile + 2 H2O
4-cyanopentanoic acid + NH3
77% activity compared to glutaronitrile
-
-
?
2-methylglutaronitrile + 4 H2O
2-methylglutaric acid + 2 NH3
-
activity is 2.3fold higher as compared to activity with 3-cyanopyridine
-
-
?
2-methylglutaronitrile + 4 H2O
2-methylglutaric acid + 2 NH3
-
activity is 2.3fold higher as compared to activity with 3-cyanopyridine
-
-
?
2-methylglutaronitrile + 4 H2O
2-methylglutaric acid + 2 NH3
-
-
-
-
?
3-aminopropionitrile + 2 H2O
beta-alanine + NH3
-
the enzyme catalyzes the hydrolysis of 3-aminopropionitrile at high substrate concentration up to 3 M. With the increase of substrate concentration, 3-aminopropanamide is formed, reaching 33% at the substrate concentration of 3 M
-
-
?
3-aminopropionitrile + 2 H2O
beta-alanine + NH3
-
the enzyme catalyzes the hydrolysis of 3-aminopropionitrile at high substrate concentration up to 3 M. With the increase of substrate concentration, 3-aminopropanamide is formed, reaching 33% at the substrate concentration of 3 M
-
-
?
3-cyanopyridine + 2 H2O
nicotinic acid + NH3
-
-
-
?
3-cyanopyridine + 2 H2O
nicotinic acid + NH3
-
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
100% activity
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
100% activity
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
-
-
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
151% activity compared to benzonitrile
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
-
-
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
-
-
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
-
-
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
-
-
-
?
3-cyanopyridine + 2 H2O
pyridine 3-carboxylic acid + NH3
-
-
-
?
3-cyanopyridine + H2O
3-carboxypyridine + NH3
-
7.72% of the activity with crotononitrile
-
-
?
3-cyanopyridine + H2O
3-carboxypyridine + NH3
11% activity compared to glutaronitrile
-
-
?
3-ethoxyacrylonitrile + H2O
3-ethoxyacrylic acid + NH3
-
19.1% of the activity with crotononitrile
-
-
?
3-ethoxyacrylonitrile + H2O
3-ethoxyacrylic acid + NH3
-
19.1% of the activity with crotononitrile
-
-
?
3-phenylpropionitrile + 2 H2O
3-phenylpropionic acid + NH3
-
activity is 61% compared to activity with 3-cyanopyridine
-
-
?
3-phenylpropionitrile + 2 H2O
3-phenylpropionic acid + NH3
-
activity is 2.15fold higher as compared to activity with 3-cyanopyridine
-
-
?
3-phenylpropionitrile + H2O
3-phenylpropionic acid + NH3
151% activity compared to benzonitrile
-
-
?
3-phenylpropionitrile + H2O
3-phenylpropionic acid + NH3
151% activity compared to benzonitrile
-
-
?
4-chlorobutyronitrile + 2 H2O
4-chlorobutanoic acid + NH3
-
activity is 2.44fold higher as compared to activity with 3-cyanopyridine
-
-
?
4-chlorobutyronitrile + 2 H2O
4-chlorobutanoic acid + NH3
66.7% compared to the activity with 3-cyanopyridine
-
-
?
4-chlorobutyronitrile + H2O
4-chlorobutyrate + NH3
135% activity compared to 3-cyanopyridine
-
-
?
4-chlorobutyronitrile + H2O
4-chlorobutyrate + NH3
135% activity compared to 3-cyanopyridine
-
-
?
4-chlorobutyronitrile + H2O
4-chlorobutyrate + NH3
-
116% of the activity with crotononitrile
-
-
?
4-cyanopyridine + 2 H2O
4-pyridinecarboxylic acid + NH3
-
50% of the activity with acrylonitrile
-
-
?
4-cyanopyridine + 2 H2O
4-pyridinecarboxylic acid + NH3
-
50% of the activity with acrylonitrile
-
-
?
4-cyanopyridine + 2 H2O
pyridine 4-carboxylic acid + NH3
-
activity is 3fold higher compared to activity with 3-cyanopyridine
-
-
?
4-cyanopyridine + 2 H2O
pyridine 4-carboxylic acid + NH3
225% activity compared to benzonitrile
-
-
?
4-cyanopyridine + 2 H2O
pyridine 4-carboxylic acid + NH3
-
low activity
-
-
?
acetamide + H2O
?
-
-
-
-
?
acetamide + H2O
?
-
-
-
-
?
acetonitrile + H2O
acetate + NH3
135% activity compared to benzonitrile
-
-
?
acetonitrile + H2O
acetate + NH3
135% activity compared to benzonitrile
-
-
?
acetonitrile + H2O
acetate + NH3
-
-
-
-
?
acetonitrile + H2O
acetate + NH3
-
-
-
-
?
acetonitrile + H2O
acetate + NH3
-
-
-
-
?
acetonitrile + H2O
acetate + NH3
-
-
-
-
?
acetonitrile + H2O
acetate + NH3
-
-
-
-
?
acetonitrile + H2O
acetate + NH3
-
28.3% of the activity with crotononitrile
-
-
?
acetonitrile + H2O
acetate + NH3
-
-
-
-
?
acrylamide + H2O
?
-
-
-
-
?
acrylamide + H2O
?
-
-
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
-
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
acrylonitrile is the best substrates for nitC1-encoded nitrilase
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
acrylonitrile is the best substrates for nitC1-encoded nitrilase
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
-
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
-
activity is 2.2fold higher as compared to activity with 3-cyanopyridine
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
-
activity is 2.2fold higher as compared to activity with 3-cyanopyridine
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
5% compared to the activity with 3-hexenedinitrile
-
-
?
acrylonitrile + 2 H2O
acrylic acid + NH3
2.8% compared to the activity with 3-cyanopyridine
-
-
?
acrylonitrile + H2O
acrylate + NH3
25.9% activity compared to 3-cyanopyridine
-
-
?
acrylonitrile + H2O
acrylate + NH3
-
most effective substrate
-
-
?
acrylonitrile + H2O
acrylate + NH3
-
-
-
?
acrylonitrile + H2O
acrylate + NH3
-
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
144% activity compared to racemic Ibu-CN
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
144% activity compared to racemic Ibu-CN
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
at 23% of the activity with adiponitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
400% activity compared to benzonitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
400% activity compared to benzonitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
high activity
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
high activity
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
100% activity
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
100% activity
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
best substrate
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
348% of the activity with crotononitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
128% activity compared to benzonitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
the enzyme shows higher activity with acrylonitrile as with benzonitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
128% activity compared to benzonitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
348% of the activity with crotononitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
the enzyme shows higher activity with acrylonitrile as with benzonitrile
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
best substrate
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
-
?
acrylonitrile + H2O
acrylic acid + NH3
-
-
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
42% of the activity as compared to acrylonitrile
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
activity is comparable to activity with acrylonitrile
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
42% of the activity as compared to acrylonitrile
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
activity is comparable to activity with acrylonitrile
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
-
activity is 1.14fold higher compared to activity with 3-cyanopyridine
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
-
activity is 2.13fold higher as compared to activity with 3-cyanopyridine
-
-
?
adiponitrile + 4 H2O
adipic acid + 2 NH3
3% compared to the activity with 3-hexenedinitrile
-
-
?
adiponitrile + H2O
adipate + NH3
-
-
-
-
?
adiponitrile + H2O
adipate + NH3
-
-
-
-
?
adiponitrile + H2O
adipate + NH3
-
-
-
?
adiponitrile + H2O
adipate + NH3
91% activity compared to glutaronitrile
-
-
?
adiponitrile + H2O
adipic acid + NH3
-
-
-
-
?
adiponitrile + H2O
adipic acid + NH3
100% activity
-
-
?
adiponitrile + H2O
adipic acid + NH3
-
-
-
?
adiponitrile + H2O
adipic acid + NH3
-
110% of the activity with crotononitrile
-
-
?
adiponitrile + H2O
adipic acid + NH3
-
-
-
-
?
aminoacetonitrile + H2O
aminoacetic acid + NH3
-
30% of the activity with acrylonitrile
-
-
?
aminoacetonitrile + H2O
aminoacetic acid + NH3
-
30% of the activity with acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
55.4% activity compared to 3-cyanopyridine
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
55.4% activity compared to 3-cyanopyridine
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
-
at 4% of the activity with acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
100% activity
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
-
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
-
27.1% of the activity with crotononitrile
-
-
?
benzonitrile + 2 H2O
benzoate + NH3
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
5% of the activity as compared to acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
8% of the activity as compared to acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
5% of the activity as compared to acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
8% of the activity as compared to acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
4.6% activity compared to fumaronitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
4.6% activity compared to fumaronitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
94% activity compared to racemic Ibu-CN
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
94% activity compared to racemic Ibu-CN
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
4% activity compared to adiponitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
activity is 2.24fold higher as compared to activity with 3-cyanopyridine
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
activity is 2.24fold higher as compared to activity with 3-cyanopyridine
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
3.8% activity compared to acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
3.8% activity compared to acrylonitrile
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
100% activity
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
100% activity
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
-
-
-
?
benzonitrile + 2 H2O
benzoic acid + NH3
100% activity
-
-
?
butyronitrile + 2 H2O
butyric acid + NH3
75% of the activity as compared to acrylonitrile
-
-
?
butyronitrile + 2 H2O
butyric acid + NH3
83% of the activity as compared to acrylonitrile
-
-
?
butyronitrile + 2 H2O
butyric acid + NH3
75% of the activity as compared to acrylonitrile
-
-
?
butyronitrile + 2 H2O
butyric acid + NH3
83% of the activity as compared to acrylonitrile
-
-
?
butyronitrile + 2 H2O
butyric acid + NH3
48.5% compared to the activity with 3-cyanopyridine
-
-
?
butyronitrile + H2O
butyrate + NH3
425% activity compared to benzonitrile
-
-
?
butyronitrile + H2O
butyrate + NH3
-
-
-
-
?
butyronitrile + H2O
butyrate + NH3
-
-
-
-
?
butyronitrile + H2O
butyrate + NH3
-
18.0% of the activity with crotononitrile
-
-
?
butyronitrile + H2O
butyric acid + NH3
-
-
-
-
?
butyronitrile + H2O
butyric acid + NH3
-
-
-
-
?
cinnamonitrile + H2O
cinnamate + NH3
-
31.2% of the activity with crotononitrile
-
-
?
cinnamonitrile + H2O
cinnamate + NH3
28% activity compared to glutaronitrile
-
-
?
cis-crotononitrile + H2O
crotonic acid + NH3
-
-
-
-
?
cis-crotononitrile + H2O
crotonic acid + NH3
-
-
-
-
?
crotonitrile + H2O
crotonic acid + NH3
-
-
-
?
crotonitrile + H2O
crotonic acid + NH3
-
-
-
?
crotonitrile + H2O
crotonic acid + NH3
-
-
-
?
crotonitrile + H2O
crotonic acid + NH3
-
-
-
?
crotonitrile + H2O
crotonic acid + NH3
-
-
-
-
?
crotonitrile + H2O
crotonic acid + NH3
-
-
-
-
?
fumaronitrile + 4 H2O
fumaric acid + 2 NH3
-
activity is 36fold higher compared to activity with 3-cyanopyridine
-
-
?
fumaronitrile + 4 H2O
fumaric acid + 2 NH3
-
activity is 2.21fold higher as compared to activity with 3-cyanopyridine
-
-
?
fumaronitrile + H2O
fumarate + NH3
209.8 activity compared to 3-cyanopyridine
-
-
?
fumaronitrile + H2O
fumarate + NH3
best substrate
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
100% activity
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
100% activity
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
preferred substrate
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
preferred substrate
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
27.4% of the activity with crotononitrile
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
-
-
-
-
?
fumaronitrile + H2O
fumaric acid + NH3
12000% activity compared to benzonitrile
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
345% of the activity with crotononitrile
-
-
?
glutaronitrile + H2O
glutarate + NH3
-
-
-
-
?
glutaronitrile + H2O
glutarate + NH3
100% activity
-
-
?
glutaronitrile + H2O
glutaric acid + NH3
319% activity compared to benzonitrile
-
-
?
glutaronitrile + H2O
glutaric acid + NH3
-
-
-
?
glutaronitrile + H2O
glutaric acid + NH3
-
-
-
-
?
glycolonitrile + 2 H2O
glycolic acid + NH3
-
preferred substrate
-
-
?
glycolonitrile + 2 H2O
glycolic acid + NH3
-
preferred substrate
-
-
?
glycolonitrile + 2 H2O
glycolic acid + NH3
-
activity is 15.9fold higher compared to activity with 3-cyanopyridine
-
-
?
glycolonitrile + 2 H2O
glycolic acid + NH3
-
preferred substrate
-
-
?
glycolonitrile + 2 H2O
glycolic acid + NH3
-
preferred substrate
-
-
?
glycolonitrile + H2O
ammonium glycolate + ?
-
40% of the activity with acrylonitrile
-
-
?
glycolonitrile + H2O
ammonium glycolate + ?
-
40% of the activity with acrylonitrile
-
-
?
iminodiacetonitrile + 2 H2O
iminodiacetic acid + 2 NH3
-
261% of the activity with crotononitrile
-
-
?
iminodiacetonitrile + 2 H2O
iminodiacetic acid + 2 NH3
-
25% of the activity with acrylonitrile
-
-
?
iminodiacetonitrile + 2 H2O
iminodiacetic acid + 2 NH3
-
25% of the activity with acrylonitrile
-
-
?
isobutyronitrile + H2O
isobutyrate + NH3
-
6.74% of the activity with crotononitrile
-
-
?
isobutyronitrile + H2O
isobutyrate + NH3
-
-
-
-
?
malononitrile + H2O
malonic acid + NH3
-
-
-
-
?
malononitrile + H2O
malonic acid + NH3
-
preferred substrate
-
-
?
malononitrile + H2O
malonic acid + NH3
-
-
-
-
?
malononitrile + H2O
malonic acid + NH3
-
preferred substrate
-
-
?
malononitrile + H2O
malonic acid + NH3
-
45.1% of the activity with crotononitrile
-
-
?
mandelonitrile + 2 H2O
mandelic acid + NH3
69% activity compared to benzonitrile
-
-
?
mandelonitrile + 2 H2O
mandelic acid + NH3
69% activity compared to benzonitrile
-
-
?
mandelonitrile + 2 H2O
mandelic acid + NH3
-
-
-
-
?
mandelonitrile + 2 H2O
mandelic acid + NH3
-
-
-
-
?
methacrylonitrile + H2O
methacrylic acid + NH3
-
143% of the activity with crotononitrile
-
-
?
methacrylonitrile + H2O
methacrylic acid + NH3
-
143% of the activity with crotononitrile
-
-
?
N-butyronitrile + 2 H2O
N-butyric acid + NH3
-
-
-
-
?
N-butyronitrile + 2 H2O
N-butyric acid + NH3
-
-
-
-
?
N-butyronitrile + 2 H2O
N-butyric acid + NH3
-
-
-
-
?
N-butyronitrile + 2 H2O
N-butyric acid + NH3
-
-
-
-
?
pentanenitrile + 2 H2O
pentanoic acid + NH3
-
activity is 2.39fold higher as compared to activity with 3-cyanopyridine
-
-
?
pentanenitrile + 2 H2O
pentanoic acid + NH3
56.3% compared to the activity with 3-cyanopyridine
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
5% of the activity as compared to acrylonitrile
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
best substrate for nitC2-encoded nitrilase. Activity is 16.7fold higher as compared to activity with acrylonitrile
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
5% of the activity as compared to acrylonitrile
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
best substrate for nitC2-encoded nitrilase. Activity is 16.7fold higher as compared to activity with acrylonitrile
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
-
-
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
-
-
-
-
?
phenylacetonitrile + 2 H2O
phenylacetic acid + NH3
16.3% compared to the activity with 3-cyanopyridine
-
-
?
propionitrile + H2O
propionate + NH3
-
at 6% of the activity with acrylonitrile
-
-
?
propionitrile + H2O
propionate + NH3
-
-
-
?
propionitrile + H2O
propionate + NH3
-
-
-
?
propionitrile + H2O
propionate + NH3
-
12.7% of the activity with crotononitrile
-
-
?
propionitrile + H2O
propionic acid + NH3
416% activity
-
-
?
propionitrile + H2O
propionic acid + NH3
-
-
-
-
?
propionitrile + H2O
propionic acid + NH3
-
-
-
-
?
racemic Ibu-CN + 2 H2O
ibuprofen + NH3
-
100% activity
-
-
?
racemic Ibu-CN + 2 H2O
ibuprofen + NH3
-
100% activity
-
-
?
sebaconitrile + 4 H2O
sebaconic acid + 2 NH3
-
activity is 1.66fold higher compared to activity with 3-cyanopyridine
-
-
?
sebaconitrile + 4 H2O
sebaconic acid + 2 NH3
-
activity is 1.92fold higher as compared to activity with 3-cyanopyridine
-
-
?
sebaconitrile + H2O
? + NH3
-
-
-
?
sebaconitrile + H2O
? + NH3
-
-
-
?
sebaconitrile + H2O
? + NH3
-
15.7% of the activity with crotononitrile
-
-
?
succinonitrile + 4 H2O
succinic acid + 2 NH3
-
activity is 1.97fold higher compared to activity with 3-cyanopyridine
-
-
?
succinonitrile + 4 H2O
succinic acid + 2 NH3
-
activity is 2.64fold higher as compared to activity with 3-cyanopyridine
-
-
?
succinonitrile + H2O
succinate + NH3
66.3% activity compared to 3-cyanopyridine
-
-
?
succinonitrile + H2O
succinate + NH3
66.3% activity compared to 3-cyanopyridine
-
-
?
succinonitrile + H2O
succinate + NH3
-
-
-
?
succinonitrile + H2O
succinate + NH3
-
-
-
?
succinonitrile + H2O
succinate + NH3
-
-
-
?
succinonitrile + H2O
succinate + NH3
-
271% of the activity with crotononitrile
-
-
?
succinonitrile + H2O
succinate + NH3
76% activity compared to glutaronitrile
-
-
?
succinonitrile + H2O
succinic acid + NH3
-
best substrate
-
-
?
succinonitrile + H2O
succinic acid + NH3
-
-
-
-
?
trans-crotononitrile + H2O
crotonic acid + NH3
-
-
-
-
?
trans-crotononitrile + H2O
crotonic acid + NH3
-
-
-
-
?
valeronitrile + H2O
valeric acid + NH3
25% compared to the activity with 3-hexenedinitrile
-
-
?
valeronitrile + H2O
valeric acid + NH3
-
-
-
-
?
additional information
?
-
-
the enzyme catalyzes regioselectively the conversion of aliphatic dinitriles to cyanocarboxylic acids
-
-
?
additional information
?
-
-
the enzyme catalyzes regioselectively the conversion of aliphatic dinitriles to cyanocarboxylic acids
-
-
?
additional information
?
-
-
the cells are also active on benzoic acid to a lesser extent compared to aliphatic nitriles
-
-
?
additional information
?
-
-
the cells are also active on benzoic acid to a lesser extent compared to aliphatic nitriles
-
-
?
additional information
?
-
no activity with iminodiacetonitrile, glycolonitrile, 3-hydroxyglutaronitrile, phenylacetonitrile, 1,2-phenylenediacetonitrile, mandelonitrile, and indole-3-acetonitrile
-
-
?
additional information
?
-
no activity with iminodiacetonitrile, glycolonitrile, 3-hydroxyglutaronitrile, phenylacetonitrile, 1,2-phenylenediacetonitrile, mandelonitrile, and indole-3-acetonitrile
-
-
?
additional information
?
-
-
the enzyme shows a broad hydrolytic activity toward aliphatic and heterocyclic nitriles and shows high tolerance of 3-cyanopyridine. No activity with: benzonitrile, phenylacetonitrile, 4-chlorobenzyl cyanide, mandelonitrile, 2-chloromandelonitrile, alpha-methylphenylacetonitrile, 1,2-phenylenediacetonitrile, dodecanenitrile
-
-
-
additional information
?
-
no activity with fumaronitrile and succinonitrile
-
-
?
additional information
?
-
no activity with fumaronitrile and succinonitrile
-
-
?
additional information
?
-
-
the enzyme shows broad substrate specificity towards aliphatic, aromatic, and heterocyclic nitriles
-
-
-
additional information
?
-
-
the enzyme shows broad substrate specificity towards aliphatic, aromatic, and heterocyclic nitriles
-
-
-
additional information
?
-
enzyme displays a high specificity towards dinitrile substrates
-
-
?
additional information
?
-
-
enzyme displays a high specificity towards dinitrile substrates
-
-
?
additional information
?
-
the enzyme shows preference for unsaturated aliphatic substrates containing 5-6 carbon atoms. Increased reaction rates are also found for aliphatic nitriles carrying electron withdrawing substituents (e.g. chloro- or hydroxy-groups) close to the nitrile group. Aliphatic dinitriles are attacked only at one of the nitrile groups and with most of the tested dinitriles the monocarboxylates are detected as major products. Substrates converted with 1% less compared to the activity with 3-hexenedinitrile: 2-methylbutyronitrile, decanedinitrile, octanedinitrile, cis,trans-crotononitrile, popionitrile, isovaleronitrile, lactonitrile, butyronitrile
-
-
-
additional information
?
-
enzyme displays a high specificity towards dinitrile substrates
-
-
?
additional information
?
-
-
compounds with a nitrile group bound to an aromatic ring or amino acid are not hydrolyzed by recombinant nitrilase
-
-
?
additional information
?
-
-
compounds with a nitrile group bound to an aromatic ring or amino acid are not hydrolyzed by recombinant nitrilase
-
-
?
additional information
?
-
-
the cells are also active on benzoic acid to a lesser extent compared to aliphatic nitriles
-
-
?
additional information
?
-
-
the cells are also active on benzoic acid to a lesser extent compared to aliphatic nitriles
-
-
?
additional information
?
-
lack of acide amide production
-
-
?
additional information
?
-
-
isovaleronitrile, benzonitrile, and pyridine-3-carbonitrile are weak substrates
-
-
?
additional information
?
-
-
isovaleronitrile, benzonitrile, and pyridine-3-carbonitrile are weak substrates
-
-
?
additional information
?
-
no activity with mandelonitrile, glycolonitrile
-
-
-
additional information
?
-
Nit1 does not hydrolyze malononitrile, mandelonitrile, 4-cyanobenzoic acid, 3-ethoxybenzonitrile, 4-hydroxybenzonitrile, alpha-methylbenzyl cyanide, acrylonitrile, 4-tolunitrile, and benzonitrile
-
-
?
additional information
?
-
Nit1 is an aliphatic nitrilase favoring dinitriles over mononitriles
-
-
?
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class.The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
metabolism
-
use of script based method for classification of aliphatic and aromatic group of nitrilases. The algorithm can be used as a tool to classify nitrilases as aliphatic and aromatic class. The overall accuracy achieved is 95.00%. These machine learning techniques can be used to predict different features of the gene/protein and selection of these algorithms for the prediction of gene/protein function
-
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Please wait a moment until the data is sorted. This message will disappear when the data is sorted.
Kobayashi, M.; Yanak, N.; Nagasawa, T.; Yamada, H.
Primary structure of an aliphatic nitrile-degrading enzyme, aliphatic nitrilase, from Rhodococcus rhodocrous K22 and expression of its gene and identification of its active site residue
Biochemistry
31
9000-9007
1992
Rhodococcus rhodochrous, Rhodococcus rhodochrous K22
brenda
Kobayashi, M.; Yanaka, N.; Nagasawa, T.; Yamada, H.
Purification and characterization of a novel nitrilase of Rhodococcus rhodochrous K22 that acts on aliphatic nitriles
J. Bacteriol.
172
4807-4815
1990
Rhodococcus rhodochrous, Rhodococcus rhodochrous K22
brenda
Levy-Schil, S.; Soubrier, F.; Crutz-Le Coq, A.M.; Faucher, D.; Crouzet, J.; Petre, D.
Aliphatic nitrilase from a soil-isolated Comamonas testosteroni sp.: gene cloning and overexpression, purification and primary structure
Gene
161
15-20
1995
Comamonas testosteroni
brenda
Dhillon, J.; Chhatre, S.; Shanker, R.; Shivaraman, N.
Transformation of aliphatic and aromatic nitriles by a nitrilase from Pseudomonas sp.
Can. J. Microbiol.
45
811-815
1999
Pseudomonas sp., Pseudomonas sp. S1
-
brenda
Chauhan, S.; Wu, S.; Blumerman, S.; Fallon, R.D.; Gavagan, J.E.; DiCosimo, R.; Payne, M.S.
Purification, cloning, sequencing and over-expression in Escherichia coli of a regioselective aliphatic nitrilase from Acidovorax facilis 72W
Appl. Microbiol. Biotechnol.
61
118-122
2003
Acidovorax facilis, Acidovorax facilis 72W
brenda
Dias, J.C.T.; Rezende, R.P.; Rosa, C.A.; Lachance, M.A.; Linardi, V.R.
Enzymatic degradation of nitriles by a Candida guilliermondii UFMG-Y65
Can. J. Microbiol.
46
525-531
2000
Meyerozyma guilliermondii, Meyerozyma guilliermondii UFMG-Y65
brenda
Brenner, C.
Catalysis in the nitrilase superfamily
Curr. Opin. Struct. Biol.
12
775-782
2002
Arabidopsis thaliana (P46011), Rhodococcus rhodochrous (Q03217)
brenda
Bergeron, S.; Chaplin, D.A.; Edwards, J.H.; Ellis, B.S.; Hill, C.L.; Holt-Tiffin, K.; Knight, J.R.; Mahoney, T.; Osborne, A.P.; Ruecroft, G.
Nitrilase-catalyzed desymmetrization of 3-hydroxyglutaronitrile: preparation of a statin side-chain intermediate
Org. Proc. Res. Dev.
10
661-665
2006
Pseudomonas fluorescens
-
brenda
Mueller, P.; Egorova, K.; Vorgias, C.E.; Boutou, E.; Trauthwein, H.; Verseck, S.; Antranikian, G.
Cloning, overexpression, and characterization of a thermoactive nitrilase from the hyperthermophilic archaeon Pyrococcus abyssi
Protein Expr. Purif.
47
672-681
2006
Pyrococcus abyssi, no activity in Aeropyrum pernix, no activity in Pyrococcus horikoshii, no activity in Pyrococcus furiosus, Pyrococcus abyssi GE5 / CNCM I-1302 / DSM 25543
brenda
Hann, E.C.; Sigmund, A.E.; Fager, S.K.; Cooling, F.B.; Gavagan, J.E.; Bramucci, M.G.; Chauhan, S.; Payne, M.S.; DiCosimo, R.
Regioselective biocatalytic hydrolysis of (E,Z)-2-methyl-2-butenenitrile for production of (E)-2-methyl-2-butenoic acid
Tetrahedron
60
577-581
2004
Acidovorax facilis, Acidovorax facilis 72W
-
brenda
Yeom, S.J.; Kim, H.J.; Lee, J.K.; Kim, D.E.; Oh, D.K.
A determinant residue of substrate specificity in nitrilase from Rhodococcus rhodochrous ATCC 33278 for aliphatic and aromatic nitriles
Biochem. J.
415
401-407
2008
Rhodococcus rhodochrous, Rhodococcus rhodochrous (Q03217)
brenda
Holtze, M.S.; Sorensen, J.; Hansen, H.C.; Aamand, J.
Transformation of the herbicide 2,6-dichlorobenzonitrile to the persistent metabolite 2,6-dichlorobenzamide (BAM) by soil bacteria known to harbour nitrile hydratase or nitrilase
Biodegradation
17
503-510
2006
Pseudomonas putida, Pseudomonas fluorescens, Rhizobium sp., Pseudomonas putida 11388, Pseudomonas fluorescens 11387, Rhizobium sp. 11401
brenda
Mukherjee, C.; Zhu, D.; Biehl, E.R.; Hua, L.
Exploring the synthetic applicability of a cyanobacterium nitrilase as catalyst for nitrile hydrolysis
Eur. J. Org. Chem.
23
5238-5242
2006
Synechocystis sp.
-
brenda
Khandelwal, A.K.; Nigam, V.K.; Choudhury, B.; Mohan, M.K.; Ghosh, P.
Optimization of nitrilase production from a new thermophilic isolate
J. Chem. Technol. Biotechnol.
82
646-651
2007
Streptomyces sp., Streptomyces sp. MTCC 7546
-
brenda
Luo, H.; Fan, L.; Chang, Y.; Ma, J.; Yu, H.; Shen, Z.
Gene cloning, overexpression, and characterization of the nitrilase from Rhodococcus rhodochrous tg1-A6 in E. coli
Appl. Biochem. Biotechnol.
160
393-400
2008
Rhodococcus rhodochrous, Rhodococcus rhodochrous tg1-A6
brenda
Kim, J.S.; Tiwari, M.K.; Moon, H.J.; Jeya, M.; Ramu, T.; Oh, D.K.; Kim, I.W.; Lee, J.K.
Identification and characterization of a novel nitrilase from Pseudomonas fluorescens Pf-5
Appl. Microbiol. Biotechnol.
83
273-283
2009
Pseudomonas fluorescens (Q4KCL8), Pseudomonas fluorescens, Pseudomonas fluorescens Pf-5 (Q4KCL8)
brenda
Nigam, V.K.; Khandelwal, A.K.; Gothwal, R.K.; Mohan, M.K.; Choudhury, B.; Vidyarthi, A.S.; Ghosh, P.
Nitrilase-catalysed conversion of acrylonitrile by free and immobilized cells of Streptomyces sp.
J. Biosci.
34
21-26
2009
Streptomyces sp.
brenda
Bayer, S.; Birkemeyer, C.; Ballschmiter, M.
A nitrilase from a metagenomic library acts regioselectively on aliphatic dinitriles
Appl. Microbiol. Biotechnol.
89
91-98
2011
uncultured bacterium (E1A0Z9)
brenda
Thuku, R.; Brady, D.; Benedik, M.; Sewell, B.
Microbial nitrilases: Versatile, spiral forming, industrial enzymes
J. Appl. Microbiol.
106
703-727
2009
Acinetobacter sp., Acidovorax facilis, Pseudomonas sp., Pyrococcus abyssi, Rhodococcus rhodochrous (Q02068), Rhodococcus rhodochrous (Q03217), Synechocystis sp. (Q55949), Comamonas testosteroni (Q59329), Pseudomonas sp. S1, Acinetobacter sp. AK226, Rhodococcus rhodochrous K22 (Q02068), Acidovorax facilis 72W, Rhodococcus rhodochrous J1 (Q03217)
brenda
Sharma, N.; Kushwaha, R.; Sodhi, J.; Bhalla, T.
In silico analysis of amino acid sequences in relation to specificity and physiochemical properties of some microbial nitrilases
J. Proteomics Bioinform.
2
185-192
2009
Bradyrhizobium sp., Bradyrhizobium sp. ORS278, Methylibium petroleiphilum (A2SEG6), Pseudomonas syringae pv. syringae (Q500U1), Rhodococcus rhodochrous, Rhodococcus rhodochrous J1, Rhodococcus rhodochrous K22, Synechococcus elongatus (A0A0H3K0Y4)
-
brenda
He, Y.C.; Ma, C.L.; Xu, J.H.; Zhou, L.
A high-throughput screening strategy for nitrile-hydrolyzing enzymes based on ferric hydroxamate spectrophotometry
Appl. Microbiol. Biotechnol.
89
817-823
2011
Alcaligenes sp., Rhodococcus erythropolis, Rhodococcus erythropolis CGMCC 1.2362, Alcaligenes sp. ECU0401
brenda
Fang, S.; An, X.; Liu, H.; Cheng, Y.; Hou, N.; Feng, L.; Huang, X.; Li, C.
Enzymatic degradation of aliphatic nitriles by Rhodococcus rhodochrous BX2, a versatile nitrile-degrading bacterium
Biores. Technol.
185
28-34
2015
Rhodococcus rhodochrous, Rhodococcus rhodochrous BX2
brenda
Yusuf, F.; Rather, I.A.; Jamwal, U.; Gandhi, S.G.; Chaubey, A.
Cloning and functional characterization of nitrilase from Fusarium proliferatum AUF-2 for detoxification of nitriles
Funct. Integr. Genomics
15
413-424
2015
Fusarium proliferatum (A0A0E3D8K7), Fusarium proliferatum AUF-2 (A0A0E3D8K7)
brenda
Zhang, L.; Yin, B.; Wang, C.; Jiang, S.; Wang, H.; Yuan, Y.A.; Wei, D.
Structural insights into enzymatic activity and substrate specificity determination by a single amino acid in nitrilase from Synechocystis sp. PCC6803
J. Struct. Biol.
188
93-101
2014
Synechocystis sp. (Q55949)
brenda
Wang, H.; Li, G.; Li, M.; Wei, D.; Wang, X.
A novel nitrilase from Rhodobacter sphaeroides LHS-305: cloning, heterologous expression and biochemical characterization
World J. Microbiol. Biotechnol.
30
245-252
2014
Cereibacter sphaeroides (G5DDB2), Cereibacter sphaeroides LHS-305 (G5DDB2)
brenda
Sharma, N.; Verma, R.; Savitri, R.; Bhalla, T.C.
Classifying nitrilases as aliphatic and aromatic using machine learning technique
3 Biotech
8
68
2018
Agrobacterium rhizogenes, Variovorax paradoxus, Achromobacter xylosoxidans, Burkholderia gladioli, Comamonas testosteroni, Mesorhizobium loti, Afipia carboxidovorans, Rhizobium leguminosarum, Rhizoctonia solani, Rhodococcus rhodochrous, Starkeya novella, Sorangium cellulosum, Teredinibacter turnerae, Bradyrhizobium elkanii, Methyloversatilis universalis, Methylibium petroleiphilum, Janthinobacterium sp. Marseille, Paraburkholderia kururiensis, Saccharomonospora viridis, Burkholderia sp. BT03, Nocardia sp. C-14-1, Rhizobium leguminosarum bv. viciae 3841, Danaus plexippus, Polycyclovorans algicola, Methylobacterium sp. L2-4, Bosea sp. 117, Bradyrhizobium sp. th.b2, Azospirillum halopraeferens, Rhizobium sp. JGI 0001019-L19, Paraburkholderia mimosarum, Amycolatopsis taiwanensis, Variovorax sp. P21, Acidovorax oryzae, Methylobacterium sp. 88A, Methylopila sp. 73B, Xanthobacter sp. 126, Colletotrichum fioriniae, Marinomonas ushuaiensis, Betaproteobacteria bacterium, Cupriavidus sp. WS, Methylopila sp. M107, Serratia sp. M24T3, Bradyrhizobium sp. ORS 278 (A4YWK0), Shimwellia blattae (I2BBF1), Sphingopyxis alaskensis (Q1GTC0), Synechococcus elongatus PCC 6301 (Q31PZ9), Pseudomonas syringae pv. syringae (Q500U1), Colletotrichum fioriniae PJ7, Saccharomonospora viridis DSM 43017, Sorangium cellulosum So0157-2, Agrobacterium rhizogenes ATCC 15834, Variovorax paradoxus EPS, Marinomonas ushuaiensis DSM 15871, Sphingopyxis alaskensis DSM 13593 (Q1GTC0), Rhodococcus rhodochrous K22, Rhizoctonia solani 123E, Danaus plexippus F2, Pseudomonas syringae pv. syringae B728a (Q500U1), Shimwellia blattae ATCC 29907 (I2BBF1), Betaproteobacteria bacterium MOLA814, Afipia carboxidovorans OM5, Rhodococcus rhodochrous J1
brenda
Novikov, A.; Riabchenko, L.; Leonova, T.; Larikova, G.; Lavrov, K.; Glinskii, S.; Yanenko, A.
Bacterial strain Alcaligenes denitrificans C-32 containing two nitrilases with different substrate specificities
Appl. Biochem. Microbiol.
53
786-791
2017
Achromobacter denitrificans (A0A286S9Z8), Achromobacter denitrificans (A0A291PNG0), Achromobacter denitrificans C-32 (A0A286S9Z8), Achromobacter denitrificans C-32 (A0A291PNG0)
-
brenda
Fan, H.; Chen, L.; Sun, H.; Wang, H.; Ren, Y.; Wei, D.
A novel nitrilase from Ralstonia eutropha H16 and its application to nicotinic acid production
Bioprocess Biosyst. Eng.
40
1271-1281
2017
Cupriavidus necator
brenda
Liu, D.; Xi, L.; Han, D.; Dou, K.; Su, S.; Liu, J.
Cloning, expression, and characterization of a novel nitrilase, PaCNit, from Pannonibacter carbonis Q4.6
Biotechnol. Lett.
41
583-589
2019
Pannonibacter carbonis, Pannonibacter carbonis Q4.6
brenda
Chen, Z.; Chen, H.; Ni, Z.; Tian, R.; Zhang, T.; Jia, J.; Yang, S.
Expression and characterization of a novel nitrilase from hyperthermophilic bacterium Thermotoga maritima MSB8
J. Microbiol. Biotechnol.
25
1660-1669
2015
Thermotoga maritima (Q9WYX6)
brenda
Han, C.; Yao, P.; Yuan, J.; Duan, Y.; Feng, J.; Wang, M.; Wu, Q.; Zhu, D.
Nitrilase-catalyzed hydrolysis of 3-aminopropionitrile at high concentration with a tandem reaction strategy for shifting the reaction to beta-alanine formation
J. Mol. Catal. B
115
113-118
2015
Bradyrhizobium japonicum, Bradyrhizobium japonicum USDA110
-
brenda
Brunner, S.; Eppinger, E.; Fischer, S.; Groening, J.; Stolz, A.
Conversion of aliphatic nitriles by the arylacetonitrilase from Pseudomonas fluorescens EBC191
World J. Microbiol. Biotechnol.
34
91
2018
Pseudomonas fluorescens (Q5EG61), Pseudomonas fluorescens EBC191 (Q5EG61)
brenda