Author: Liu, Hsuanâ€Liang; Lin, Jinâ€Chung; Ho, Yih; Hsieh, Weiâ€Chan; Chen, Chinâ€Wen; Su, Yuanâ€Chen
Title: Homology Models and Molecular Dynamics Simulations of Main Proteinase from Coronavirus Associated with Severe Acute Respiratory Syndrome (SARS) Cord-id: zjvk1p1s Document date: 2013_9_25
ID: zjvk1p1s
Snippet: In this study, two structural models (denoted as M(pro)ST and M(pro)SH) of the main proteinase (M(pro)) from the novel coronavirus associated with severe acute respiratory syndrome (SARSâ€CoV) were constructed based on the crystallographic structures of M(pro) from transmissible gastroenteritis coronavirus (TGEV) (M(pro)T) and human coronavirus HcoVâ€229E (M(pro)H), respectively. Various 200 ps molecular dynamics simulations were subsequently performed to investigate the dynamics behaviors of
Document: In this study, two structural models (denoted as M(pro)ST and M(pro)SH) of the main proteinase (M(pro)) from the novel coronavirus associated with severe acute respiratory syndrome (SARSâ€CoV) were constructed based on the crystallographic structures of M(pro) from transmissible gastroenteritis coronavirus (TGEV) (M(pro)T) and human coronavirus HcoVâ€229E (M(pro)H), respectively. Various 200 ps molecular dynamics simulations were subsequently performed to investigate the dynamics behaviors of several structural features. Both M(pro)ST and M(pro)SH exhibit similar folds as their respective template proteins. These structural models reveal three distinct functional domains as well as an intervening loop connecting domains II and III as found in both template proteins. In addition, domain III of these structures exhibits the least secondary structural conservation. A catalytic cleft containing the substrate binding subsites S1 and the S2 between domains I and II are also observed in these structural models. Although these structures share many common features, the most significant difference occurs at the S2 subsite, where the amino acid residues lining up this subsite are least conserved. It may be a critical challenge for designing antiâ€SARS drugs by simply screening the known database of proteinase inhibitors.
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