Literature DB >> 30036062

Placement of Water Molecules in Protein Structures: From Large-Scale Evaluations to Single-Case Examples.

Eva Nittinger1, Florian Flachsenberg1, Stefan Bietz1, Gudrun Lange2, Robert Klein2, Matthias Rarey1.   

Abstract

Water molecules are of great importance for the correct representation of ligand binding interactions. Throughout the last years, water molecules and their integration into drug design strategies have received increasing attention. Nowadays a variety of tools are available to place and score water molecules. However, the most frequently applied software solutions require substantial computational resources. In addition, none of the existing methods has been rigorously evaluated on the basis of a large number of diverse protein complexes. Therefore, we present a novel method for placing water molecules, called WarPP, based on interaction geometries previously derived from protein crystal structures. Using a large, previously compiled, high-quality validation set of almost 1500 protein-ligand complexes containing almost 20 000 crystallographically observed water molecules in their active sites, we validated our placement strategy. We correctly placed 80% of the water molecules within 1.0 Å of a crystallographically observed one.

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Year:  2018        PMID: 30036062     DOI: 10.1021/acs.jcim.8b00271

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


  8 in total

1.  Simulating Water Exchange to Buried Binding Sites.

Authors:  Ido Y Ben-Shalom; Charles Lin; Tom Kurtzman; Ross C Walker; Michael K Gilson
Journal:  J Chem Theory Comput       Date:  2019-03-13       Impact factor: 6.006

2.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

3.  Utilizing Grand Canonical Monte Carlo Methods in Drug Discovery.

Authors:  Michael S Bodnarchuk; Martin J Packer; Alexe Haywood
Journal:  ACS Med Chem Lett       Date:  2019-12-11       Impact factor: 4.345

4.  Lin_F9: A Linear Empirical Scoring Function for Protein-Ligand Docking.

Authors:  Chao Yang; Yingkai Zhang
Journal:  J Chem Inf Model       Date:  2021-09-01       Impact factor: 6.162

5.  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

6.  HomolWat: a web server tool to incorporate 'homologous' water molecules into GPCR structures.

Authors:  Eduardo Mayol; Adrián García-Recio; Johanna K S Tiemann; Peter W Hildebrand; Ramon Guixà-González; Mireia Olivella; Arnau Cordomí
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

7.  ProteinsPlus: interactive analysis of protein-ligand binding interfaces.

Authors:  Katrin Schöning-Stierand; Konrad Diedrich; Rainer Fährrolfes; Florian Flachsenberg; Agnes Meyder; Eva Nittinger; Ruben Steinegger; Matthias Rarey
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

8.  GridSolvate: A Web Server for the Prediction of Biomolecular Hydration Properties.

Authors:  Piotr Setny
Journal:  J Chem Inf Model       Date:  2020-10-29       Impact factor: 4.956

  8 in total

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