Author: Pang, Yuanâ€Ping
Title: Threeâ€dimensional model of a substrateâ€bound SARS chymotrypsinâ€like cysteine proteinase predicted by multiple molecular dynamics simulations: Catalytic efficiency regulated by substrate binding Cord-id: 8m7a06g9 Document date: 2004_8_13
ID: 8m7a06g9
Snippet: Severe acute respiratory syndrome (SARS) is a contagious and deadly disease caused by a new coronavirus. The protein sequence of the chymotrypsinâ€like cysteine proteinase (CCP) responsible for SARS viral replication has been identified as a target for developing antiâ€SARS drugs. Here, I report the ATVRLQ(p1)A(p1')â€bound CCP 3D model predicted by 420 different molecular dynamics simulations (2.0 ns for each simulation with a 1.0â€fs time step). This theoretical model was released at the Pr
Document: Severe acute respiratory syndrome (SARS) is a contagious and deadly disease caused by a new coronavirus. The protein sequence of the chymotrypsinâ€like cysteine proteinase (CCP) responsible for SARS viral replication has been identified as a target for developing antiâ€SARS drugs. Here, I report the ATVRLQ(p1)A(p1')â€bound CCP 3D model predicted by 420 different molecular dynamics simulations (2.0 ns for each simulation with a 1.0â€fs time step). This theoretical model was released at the Protein Data Bank (PDB; code: 1P76) before the release of the first Xâ€ray structure of CCP (PDB code: 1Q2W). In contrast to the catalytic dyad observed in Xâ€ray structures of CCP and other coronavirus cysteine proteinases, a catalytic triad comprising Asp187, His41, and Cys145 is found in the theoretical model of the substrateâ€bound CCP. The simulations of the CCP complex suggest that substrate binding leads to the displacement of a water molecule entrapped by Asp187 and His41, thus converting the dyad to a more efficient catalytic triad. The CCP complex structure has an expanded activeâ€site pocket that is useful for antiâ€SARS drug design. In addition, this work demonstrates that multiple molecular dynamics simulations are effective in correcting errors that result from lowâ€sequenceâ€identity homology modeling. Proteins 2004. © 2004 Wileyâ€Liss, Inc.
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