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EC Number General Information Commentary Reference
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target based on the near-identical substrate specificities and high sequence identities (between SARS-CoV-2 and SARS-CoV (86%)), some of the previous progress of specific inhibitors development for the SARS-CoV enzyme can be conferred on its SARS-CoV-2 counterpart: the antivirals ledipasvir or velpatasvir, the drugs Epclusa (velpatasvir/sofosbuvir) and Harvoni (ledipasvir/sofosbuvir) can be effective 753527
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target combination of thioacetal functional group with decahydroisoquinolin or related fused-ring scaffold would be an approach to design inhibitors for SARS 3CL protease 752974
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target due to its essential role in processing the polyproteins that are translated from the viral RNA, the enzyme is an attractive drug target among coronaviruses 755546
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target due to its essential role in processing the polyproteins that are translated from the viral RNA, the enzyme is an attractive drug target among coronaviruses. The pharmacokinetic characterization of the optimized inhibitor reveals a pronounced lung tropism and suitability for administration by the inhalative route 755546
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target important targets for design of antiviral drugs against 2019-nCoV 754405
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target prediction of lead molecules which are capable of inhibiting 3C-like protease, and thus inhibit the lifecycle of Middle East Respiratory Syndrome Coronavirus using in silico methods. Detection of potential drugs by structure-based virtual screening and ligand-based virtual screening approach 753344
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69drug target the use of the deep learning platform Deep Docking in conjunction with a docking program allows rapid estimation of docking scores for 1.3 billion chemical structures into an active site of novel SARS-CoV-2 Mpro. The candidate inhibitors in the top-1000 hit list are chemically diverse, exhibit superior docking scores compared to known protease inhibitors. The structures of the identified compounds are made publicly available should facilitate efforts in rapid development of suitable drug candidates against COVID-19 754752
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69metabolism enzyme undergoes N-terminal and C-terminal autoprocessing using subsite cooperativity. In a dimer of the 3CLpro proform, containing a 10-residue C-terminal prosequence, and the C145A mutation of the catalytic cysteine residue, one of these prosequences is bound, as a substrate, to the active site of a subunit from an adjacent asymmetric unit. Residue Phe at the P3' position is required when the P2 residue is Phe 755253
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69metabolism in full-length inactive 3CLpro with N- and C-terminal extensions as substrates for monitoring self-cleavage, the rate-limiting C-terminal self-cleavage rate of SARS-CoV-2 3CLpro is 35fold faster than that of SARS-CoV 3CLpro using Trx/GST-tagged C145A 3CLpro substrates 764673
Display the word mapDisplay the reaction diagram Show all sequences 3.4.22.69metabolism the Vmax of SARS-CoV-2 3CLpro is about 2fold higher than that of SARS-CoV 3CLpro. The proteolytic activity of SARS-CoV-2 3CLpro is slightly more efficient than that of SARS-CoV 3CLpro 764084
Results 1 - 10 of 22 > >>