Literature DB >> 24684745

Strategies to calculate water binding free energies in protein-ligand complexes.

Michael S Bodnarchuk1, Russell Viner, Julien Michel, Jonathan W Essex.   

Abstract

Water molecules are commonplace in protein binding pockets, where they can typically form a complex between the protein and a ligand or become displaced upon ligand binding. As a result, it is often of great interest to establish both the binding free energy and location of such molecules. Several approaches to predicting the location and affinity of water molecules to proteins have been proposed and utilized in the literature, although it is often unclear which method should be used under what circumstances. We report here a comparison between three such methodologies, Just Add Water Molecules (JAWS), Grand Canonical Monte Carlo (GCMC), and double-decoupling, in the hope of understanding the advantages and limitations of each method when applied to enclosed binding sites. As a result, we have adapted the JAWS scoring procedure, allowing the binding free energies of strongly bound water molecules to be calculated to a high degree of accuracy, requiring significantly less computational effort than more rigorous approaches. The combination of JAWS and GCMC offers a route to a rapid scheme capable of both locating and scoring water molecules for rational drug design.

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Year:  2014        PMID: 24684745     DOI: 10.1021/ci400674k

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


  17 in total

1.  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

2.  Exploring the Effectiveness of Binding Free Energy Calculations.

Authors:  Dibyendu Mondal; Jacob Florian; Arieh Warshel
Journal:  J Phys Chem B       Date:  2019-10-14       Impact factor: 2.991

3.  Validating the Water Flooding Approach by Comparing It to Grand Canonical Monte Carlo Simulations.

Authors:  Hanwool Yoon; Vesselin Kolev; Arieh Warshel
Journal:  J Phys Chem B       Date:  2017-10-02       Impact factor: 2.991

4.  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

5.  DPP1 Inhibitors: Exploring the Role of Water in the S2 Pocket of DPP1 with Substituted Pyrrolidines.

Authors:  Helena Käck; Kevin Doyle; Samantha J Hughes; Michael S Bodnarchuk; Hans Lönn; Amanda Van De Poël; Nicholas Palmer
Journal:  ACS Med Chem Lett       Date:  2019-07-15       Impact factor: 4.345

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.  Large-scale analysis of water stability in bromodomain binding pockets with grand canonical Monte Carlo.

Authors:  Matteo Aldeghi; Gregory A Ross; Michael J Bodkin; Jonathan W Essex; Stefan Knapp; Philip C Biggin
Journal:  Commun Chem       Date:  2018-04-05

8.  Drugging the undruggable: a computational chemist's view of KRASG12C.

Authors:  Michael S Bodnarchuk; Doyle J Cassar; Jason G Kettle; Graeme Robb; Richard A Ward
Journal:  RSC Med Chem       Date:  2021-03-29

9.  Replica-Exchange and Standard State Binding Free Energies with Grand Canonical Monte Carlo.

Authors:  Gregory A Ross; Hannah E Bruce Macdonald; Christopher Cave-Ayland; Ana I Cabedo Martinez; Jonathan W Essex
Journal:  J Chem Theory Comput       Date:  2017-11-28       Impact factor: 6.006

10.  WONKA: objective novel complex analysis for ensembles of protein-ligand structures.

Authors:  A R Bradley; I D Wall; F von Delft; D V S Green; C M Deane; B D Marsden
Journal:  J Comput Aided Mol Des       Date:  2015-09-19       Impact factor: 3.686

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