Literature DB >> 21303099

A water-swap reaction coordinate for the calculation of absolute protein-ligand binding free energies.

Christopher J Woods1, Maturos Malaisree, Supot Hannongbua, Adrian J Mulholland.   

Abstract

The accurate prediction of absolute protein-ligand binding free energies is one of the grand challenge problems of computational science. Binding free energy measures the strength of binding between a ligand and a protein, and an algorithm that would allow its accurate prediction would be a powerful tool for rational drug design. Here we present the development of a new method that allows for the absolute binding free energy of a protein-ligand complex to be calculated from first principles, using a single simulation. Our method involves the use of a novel reaction coordinate that swaps a ligand bound to a protein with an equivalent volume of bulk water. This water-swap reaction coordinate is built using an identity constraint, which identifies a cluster of water molecules from bulk water that occupies the same volume as the ligand in the protein active site. A dual topology algorithm is then used to swap the ligand from the active site with the identified water cluster from bulk water. The free energy is then calculated using replica exchange thermodynamic integration. This returns the free energy change of simultaneously transferring the ligand to bulk water, as an equivalent volume of bulk water is transferred back to the protein active site. This, directly, is the absolute binding free energy. It should be noted that while this reaction coordinate models the binding process directly, an accurate force field and sufficient sampling are still required to allow for the binding free energy to be predicted correctly. In this paper we present the details and development of this method, and demonstrate how the potential of mean force along the water-swap coordinate can be improved by calibrating the soft-core Coulomb and Lennard-Jones parameters used for the dual topology calculation. The optimal parameters were applied to calculations of protein-ligand binding free energies of a neuraminidase inhibitor (oseltamivir), with these results compared to experiment. These results demonstrate that the water-swap coordinate provides a viable and potentially powerful new route for the prediction of protein-ligand binding free energies.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21303099     DOI: 10.1063/1.3519057

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  21 in total

Review 1.  Identification of HIV inhibitors guided by free energy perturbation calculations.

Authors:  Orlando Acevedo; Zandrea Ambrose; Patrick T Flaherty; Hadega Aamer; Prashi Jain; Somisetti V Sambasivarao
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

2.  Visualizing protein-ligand binding with chemical energy-wise decomposition (CHEWD): application to ligand binding in the kallikrein-8 S1 Site.

Authors:  Saad Raza; Kara E Ranaghan; Marc W van der Kamp; Christopher J Woods; Adrian J Mulholland; Syed Sikander Azam
Journal:  J Comput Aided Mol Des       Date:  2019-04-15       Impact factor: 3.686

3.  Adaptive Landscape Flattening Accelerates Sampling of Alchemical Space in Multisite λ Dynamics.

Authors:  Ryan L Hayes; Kira A Armacost; Jonah Z Vilseck; Charles L Brooks
Journal:  J Phys Chem B       Date:  2017-02-10       Impact factor: 2.991

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.  High performance in silico virtual drug screening on many-core processors.

Authors:  Simon McIntosh-Smith; James Price; Richard B Sessions; Amaurys A Ibarra
Journal:  Int J High Perform Comput Appl       Date:  2015-05       Impact factor: 1.942

6.  Computational assay of H7N9 influenza neuraminidase reveals R292K mutation reduces drug binding affinity.

Authors:  Christopher J Woods; Maturos Malaisree; Ben Long; Simon McIntosh-Smith; Adrian J Mulholland
Journal:  Sci Rep       Date:  2013-12-20       Impact factor: 4.379

Review 7.  Current status and future prospects for enabling chemistry technology in the drug discovery process.

Authors:  Stevan W Djuric; Charles W Hutchins; Nari N Talaty
Journal:  F1000Res       Date:  2016-09-30

8.  Mapping a protein recognition centre with chiral photoactive ligands. An integrated approach combining photophysics, reactivity, proteomics and molecular dynamics simulation studies.

Authors:  Daniel Limones-Herrero; Raúl Pérez-Ruiz; Emilio Lence; Concepción González-Bello; Miguel A Miranda; M Consuelo Jiménez
Journal:  Chem Sci       Date:  2017-01-05       Impact factor: 9.825

9.  Quantum mechanics/molecular mechanics modeling of regioselectivity of drug metabolism in cytochrome P450 2C9.

Authors:  Richard Lonsdale; Kerensa T Houghton; Jolanta Żurek; Christine M Bathelt; Nicolas Foloppe; Marcel J de Groot; Jeremy N Harvey; Adrian J Mulholland
Journal:  J Am Chem Soc       Date:  2013-05-16       Impact factor: 15.419

10.  Blinded predictions of host-guest standard free energies of binding in the SAMPL5 challenge.

Authors:  Stefano Bosisio; Antonia S J S Mey; Julien Michel
Journal:  J Comput Aided Mol Des       Date:  2016-08-08       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.