Literature DB >> 22646827

Accounting for water molecules in drug design.

Sergio E Wong1, Felice C Lightstone.   

Abstract

IMPORTANCE OF THE FIELD: Water molecules often appear around ligands in protein crystal structures. Reliable prediction of the effects of water on ligand binding remains a challenge. Solvation effects are crucial for lead optimization where a 100-fold difference in binding affinity is significant but correspond to only ∼3 kcal/mol in binding free energy. Well-known examples, such as nonpeptidic urea inhibitors of HIV protease, prove that careful examination of water molecules and their energetics can contribute significantly to a successful drug design campaign. AREAS COVERED IN THIS REVIEW: In this review, we examine methods to account for the effect of water in ligand binding at two stages of drug discovery: lead identification via docking calculations and lead optimization. We provide a survey of the models and techniques available to account for water in drug design. WHAT THE READER WILL GAIN: The reader will become aware of common practices and pitfalls in dealing with water molecules in structure-based drug design. TAKE HOME MESSAGE: Although solvation effects are not fully understood, some pragmatic recommendations at the end of the article provide guidance for modelers in this area as well as new practitioners.

Entities:  

Year:  2010        PMID: 22646827     DOI: 10.1517/17460441.2011.534452

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  22 in total

1.  Improving protein-ligand docking with flexible interfacial water molecules using SWRosettaLigand.

Authors:  Linqing Li; Weiwei Xu; Qiang Lü
Journal:  J Mol Model       Date:  2015-10-30       Impact factor: 1.810

2.  Enthalpic Breakdown of Water Structure on Protein Active-Site Surfaces.

Authors:  Kamran Haider; Lauren Wickstrom; Steven Ramsey; Michael K Gilson; Tom Kurtzman
Journal:  J Phys Chem B       Date:  2016-06-02       Impact factor: 2.991

3.  Grid inhomogeneous solvation theory: hydration structure and thermodynamics of the miniature receptor cucurbit[7]uril.

Authors:  Crystal N Nguyen; Tom Kurtzman Young; Michael K Gilson
Journal:  J Chem Phys       Date:  2012-07-28       Impact factor: 3.488

4.  Effect of explicit water molecules on ligand-binding affinities calculated with the MM/GBSA approach.

Authors:  Paulius Mikulskis; Samuel Genheden; Ulf Ryde
Journal:  J Mol Model       Date:  2014-05-29       Impact factor: 1.810

5.  Site-Identification by Ligand Competitive Saturation (SILCS) assisted pharmacophore modeling.

Authors:  Wenbo Yu; Sirish Kaushik Lakkaraju; E Prabhu Raman; Alexander D MacKerell
Journal:  J Comput Aided Mol Des       Date:  2014-03-08       Impact factor: 3.686

6.  A combined treatment of hydration and dynamical effects for the modeling of host-guest binding thermodynamics: the SAMPL5 blinded challenge.

Authors:  Rajat Kumar Pal; Kamran Haider; Divya Kaur; William Flynn; Junchao Xia; Ronald M Levy; Tetiana Taran; Lauren Wickstrom; Tom Kurtzman; Emilio Gallicchio
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

7.  Solvation Structure and Thermodynamic Mapping (SSTMap): An Open-Source, Flexible Package for the Analysis of Water in Molecular Dynamics Trajectories.

Authors:  Kamran Haider; Anthony Cruz; Steven Ramsey; Michael K Gilson; Tom Kurtzman
Journal:  J Chem Theory Comput       Date:  2017-12-08       Impact factor: 6.006

8.  Role of Displacing Confined Solvent in the Conformational Equilibrium of β-Cyclodextrin.

Authors:  Peng He; Sheila Sarkar; Emilio Gallicchio; Tom Kurtzman; Lauren Wickstrom
Journal:  J Phys Chem B       Date:  2019-10-01       Impact factor: 2.991

9.  Solvation thermodynamic mapping of molecular surfaces in AmberTools: GIST.

Authors:  Steven Ramsey; Crystal Nguyen; Romelia Salomon-Ferrer; Ross C Walker; Michael K Gilson; Tom Kurtzman
Journal:  J Comput Chem       Date:  2016-06-18       Impact factor: 3.376

10.  Exploring safe and potent bioactives for the treatment of non-small cell lung cancer.

Authors:  Muthu Kumar Thirunavukkarasu; Woong-Hee Shin; Ramanathan Karuppasamy
Journal:  3 Biotech       Date:  2021-04-26       Impact factor: 2.406

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