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J Phys Chem Lett ; 12(1): 65-72, 2021 Jan 14.
Article in English | MEDLINE | ID: covidwho-1387117

ABSTRACT

We analyzed a 100 µs MD trajectory of the SARS-CoV-2 main protease by a non-parametric data analysis approach which allows characterizing a free energy landscape as a simultaneous function of hundreds of variables. We identified several conformations that, when visited by the dynamics, are stable for several hundred nanoseconds. We explicitly characterize and describe these metastable states. In some of these configurations, the catalytic dyad is less accessible. Stabilizing them by a suitable binder could lead to an inhibition of the enzymatic activity. In our analysis we keep track of relevant contacts between residues which are selectively broken or formed in the states. Some of these contacts are formed by residues which are far from the catalytic dyad and are accessible to the solvent. Based on this analysis we propose some relevant contact patterns and three possible binding sites which could be targeted to achieve allosteric inhibition.


Subject(s)
COVID-19 , Molecular Dynamics Simulation , Protease Inhibitors/pharmacology , SARS-CoV-2/metabolism , Viral Proteases/chemistry , Viral Proteases/metabolism , Binding Sites , Humans , Models, Molecular , Protease Inhibitors/chemistry , Protein Binding , Protein Conformation
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