Literature DB >> 21916516

Probing the dynamic nature of water molecules and their influences on ligand binding in a model binding site.

Daniel Cappel1, Rickard Wahlström, Ruth Brenk, Christoph A Sotriffer.   

Abstract

The model binding site of the cytochrome c peroxidase (CCP) W191G mutant is used to investigate the structural and dynamic properties of the water network at the buried cavity using computational methods supported by crystallographic analysis. In particular, the differences of the hydration pattern between the uncomplexed state and various complexed forms are analyzed as well as the differences between five complexes of CCP W191G with structurally closely related ligands. The ability of docking programs to correctly handle the water molecules in these systems is studied in detail. It is found that fully automated prediction of water replacement or retention upon docking works well if some additional preselection is carried out but not necessarily if the entire water network in the cavity is used as input. On the other hand, molecular interaction fields for water calculated from static crystal structures and hydration density maps obtained from molecular dynamics simulations agree very well with crystallographically observed water positions. For one complex, the docking and MD results sensitively depend on the quality of the starting structure, and agreement is obtained only after redetermination of the crystal structure and refinement at higher resolution.

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Year:  2011        PMID: 21916516     DOI: 10.1021/ci200052j

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Blind prediction of interfacial water positions in CAPRI.

Authors:  Marc F Lensink; Iain H Moal; Paul A Bates; Panagiotis L Kastritis; Adrien S J Melquiond; Ezgi Karaca; Christophe Schmitz; Marc van Dijk; Alexandre M J J Bonvin; Miriam Eisenstein; Brian Jiménez-García; Solène Grosdidier; Albert Solernou; Laura Pérez-Cano; Chiara Pallara; Juan Fernández-Recio; Jianqing Xu; Pravin Muthu; Krishna Praneeth Kilambi; Jeffrey J Gray; Sergei Grudinin; Georgy Derevyanko; Julie C Mitchell; John Wieting; Eiji Kanamori; Yuko Tsuchiya; Yoichi Murakami; Joy Sarmiento; Daron M Standley; Matsuyuki Shirota; Kengo Kinoshita; Haruki Nakamura; Matthieu Chavent; David W Ritchie; Hahnbeom Park; Junsu Ko; Hasup Lee; Chaok Seok; Yang Shen; Dima Kozakov; Sandor Vajda; Petras J Kundrotas; Ilya A Vakser; Brian G Pierce; Howook Hwang; Thom Vreven; Zhiping Weng; Idit Buch; Efrat Farkash; Haim J Wolfson; Martin Zacharias; Sanbo Qin; Huan-Xiang Zhou; Shen-You Huang; Xiaoqin Zou; Justyna A Wojdyla; Colin Kleanthous; Shoshana J Wodak
Journal:  Proteins       Date:  2013-11-23

2.  Predicting Conserved Water Molecules in Binding Sites of Proteins Using Machine Learning Methods and Combining Features.

Authors:  Wei Xiao; Juhui Ren; Jutao Hao; Haoyu Wang; Yuhao Li; Liangzhao Lin
Journal:  Comput Math Methods Med       Date:  2022-10-03       Impact factor: 2.809

3.  Quantifying the molecular origins of opposite solvent effects on protein-protein interactions.

Authors:  Vincent Vagenende; Alvin X Han; Han B Pek; Bernard L W Loo
Journal:  PLoS Comput Biol       Date:  2013-05-16       Impact factor: 4.475

  3 in total

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