Literature DB >> 36198874

Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo.

Yunhui Ge1, Oliver J Melling2, Weiming Dong1, Jonathan W Essex2, David L Mobley3,4.   

Abstract

Water plays an important role in mediating protein-ligand interactions. Water rearrangement upon a ligand binding or modification can be very slow and beyond typical timescales used in molecular dynamics (MD) simulations. Thus, inadequate sampling of slow water motions in MD simulations often impairs the accuracy of the accuracy of ligand binding free energy calculations. Previous studies suggest grand canonical Monte Carlo (GCMC) outperforms normal MD simulations for water sampling, thus GCMC has been applied to help improve the accuracy of ligand binding free energy calculations. However, in prior work we observed protein and/or ligand motions impaired how well GCMC performs at water rehydration, suggesting more work is needed to improve this method to handle water sampling. In this work, we applied GCMC in 21 protein-ligand systems to assess the performance of GCMC for rehydrating buried water sites. While our results show that GCMC can rapidly rehydrate all selected water sites for most systems, it fails in five systems. In most failed systems, we observe protein/ligand motions, which occur in the absence of water, combine to close water sites and block instantaneous GCMC water insertion moves. For these five failed systems, we both extended our GCMC simulations and tested a new technique named grand canonical nonequilibrium candidate Monte Carlo (GCNCMC). GCNCMC combines GCMC with the nonequilibrium candidate Monte Carlo (NCMC) sampling technique to improve the probability of a successful water insertion/deletion. Our results show that GCNCMC and extended GCMC can rehydrate all target water sites for three of the five problematic systems and GCNCMC is more efficient than GCMC in two out of the three systems. In one system, only GCNCMC can rehydrate all target water sites, while GCMC fails. Both GCNCMC and GCMC fail in one system. This work suggests this new GCNCMC method is promising for water rehydration especially when protein/ligand motions may block water insertion/removal.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Electron density map; Enhanced water sampling; Grand canonical Monte Carlo; Nonequilibrium candidate Monte Carlo

Year:  2022        PMID: 36198874     DOI: 10.1007/s10822-022-00479-w

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   4.179


  26 in total

1.  Enhancing Water Sampling in Free Energy Calculations with Grand Canonical Monte Carlo.

Authors:  Gregory A Ross; Ellery Russell; Yuqing Deng; Chao Lu; Edward D Harder; Robert Abel; Lingle Wang
Journal:  J Chem Theory Comput       Date:  2020-10-02       Impact factor: 6.006

2.  Relative Binding Free Energy Calculations in Drug Discovery: Recent Advances and Practical Considerations.

Authors:  Zoe Cournia; Bryce Allen; Woody Sherman
Journal:  J Chem Inf Model       Date:  2017-12-15       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.  Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques.

Authors:  Yunhui Ge; David C Wych; Marley L Samways; Michael E Wall; Jonathan W Essex; David L Mobley
Journal:  J Chem Theory Comput       Date:  2022-02-11       Impact factor: 6.578

5.  Energetics of displacing water molecules from protein binding sites: consequences for ligand optimization.

Authors:  Julien Michel; Julian Tirado-Rives; William L Jorgensen
Journal:  J Am Chem Soc       Date:  2009-10-28       Impact factor: 15.419

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

Authors:  Gregory A Ross; Michael S Bodnarchuk; Jonathan W Essex
Journal:  J Am Chem Soc       Date:  2015-11-20       Impact factor: 15.419

Review 7.  Water Dynamics in the Hydration Shells of Biomolecules.

Authors:  Damien Laage; Thomas Elsaesser; James T Hynes
Journal:  Chem Rev       Date:  2017-03-01       Impact factor: 60.622

8.  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

9.  Calculation of Relative Binding Free Energy in the Water-Filled Active Site of Oligopeptide-Binding Protein A.

Authors:  Manuela Maurer; Stephanie B A de Beer; Chris Oostenbrink
Journal:  Molecules       Date:  2016-04-15       Impact factor: 4.411

10.  Ligand Binding Free Energies with Adaptive Water Networks: Two-Dimensional Grand Canonical Alchemical Perturbations.

Authors:  Hannah E Bruce Macdonald; Christopher Cave-Ayland; Gregory A Ross; Jonathan W Essex
Journal:  J Chem Theory Comput       Date:  2018-11-19       Impact factor: 6.006

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