Literature DB >> 26509924

Water Sites, Networks, And Free Energies with Grand Canonical Monte Carlo.

Gregory A Ross1, Michael S Bodnarchuk2, Jonathan W Essex1.   

Abstract

Water molecules play integral roles in the formation of many protein-ligand complexes, and recent computational efforts have been focused on predicting the thermodynamic properties of individual waters and how they may be exploited in rational drug design. However, when water molecules form highly coupled hydrogen-bonding networks, there is, as yet, no method that can rigorously calculate the free energy to bind the entire network or assess the degree of cooperativity between waters. In this work, we report theoretical and methodological developments to the grand canonical Monte Carlo simulation technique. Central to our results is a rigorous equation that can be used to calculate efficiently the binding free energies of water networks of arbitrary size and complexity. Using a single set of simulations, our methods can locate waters, estimate their binding affinities, capture the cooperativity of the water network, and evaluate the hydration free energy of entire protein binding sites. Our techniques have been applied to multiple test systems and compare favorably to thermodynamic integration simulations and experimental data. The implications of these methods in drug design are discussed.

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Year:  2015        PMID: 26509924     DOI: 10.1021/jacs.5b07940

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  29 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.  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

3.  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

4.  Testing inhomogeneous solvation theory in structure-based ligand discovery.

Authors:  Trent E Balius; Marcus Fischer; Reed M Stein; Thomas B Adler; Crystal N Nguyen; Anthony Cruz; Michael K Gilson; Tom Kurtzman; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-31       Impact factor: 11.205

5.  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

6.  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

7.  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

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.  Biomolecular Simulations under Realistic Macroscopic Salt Conditions.

Authors:  Gregory A Ross; Ariën S Rustenburg; Patrick B Grinaway; Josh Fass; John D Chodera
Journal:  J Phys Chem B       Date:  2018-05-31       Impact factor: 2.991

10.  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
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