Binding and Unbinding Pathways of Peptide Substrates on the SARS-CoV-2 3CL Protease.
Kei MoritsuguToru EkimotoMitsunori IkeguchiAkinori KideraPublished in: Journal of chemical information and modeling (2022)
Based on many crystal structures of ligand complexes, much study has been devoted to understanding the molecular recognition of SARS-CoV-2 3C-like protease (3CL pro ), a potent drug target for COVID-19. In this research, to extend this present static view, we examined the kinetic process of binding/unbinding of an eight-residue substrate peptide to/from 3CL pro by evaluating the path ensemble with the weighted ensemble simulation. The path ensemble showed the mechanism of how a highly flexible peptide folded into the bound form. At the early stage, the dominant motion was the diffusion on the protein surface showing a broad distribution, whose center was led into the cleft of the chymotrypsin fold. We observed a definite sequential formation of the hydrogen bonds at the later stage occurring in the cleft, initiated between Glu166 (3CL pro ) and P3_Val (peptide), followed by binding to the oxyanion hole and completed by the sequence-specific recognition at P1_Gln.
Keyphrases
- sars cov
- early stage
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- respiratory syndrome coronavirus
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- convolutional neural network
- amino acid
- emergency department
- binding protein
- squamous cell carcinoma
- neural network
- small molecule
- machine learning
- single molecule
- lymph node
- network analysis
- dna binding
- neoadjuvant chemotherapy
- protein protein
- locally advanced