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Large scale relative protein ligand binding affinities using non-equilibrium alchemy

Ligand binding affinity calculations based on molecular dynamics (MD) simulations and non-physical (alchemical) thermodynamic cycles have shown great promise for structure-based drug design. However, their broad uptake and impact is held back by the notoriously complex setup of the calculations. Onl...

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Autores principales: Gapsys, Vytautas, Pérez-Benito, Laura, Aldeghi, Matteo, Seeliger, Daniel, van Vlijmen, Herman, Tresadern, Gary, de Groot, Bert L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145179/
https://www.ncbi.nlm.nih.gov/pubmed/34084371
http://dx.doi.org/10.1039/c9sc03754c
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author Gapsys, Vytautas
Pérez-Benito, Laura
Aldeghi, Matteo
Seeliger, Daniel
van Vlijmen, Herman
Tresadern, Gary
de Groot, Bert L.
author_facet Gapsys, Vytautas
Pérez-Benito, Laura
Aldeghi, Matteo
Seeliger, Daniel
van Vlijmen, Herman
Tresadern, Gary
de Groot, Bert L.
author_sort Gapsys, Vytautas
collection PubMed
description Ligand binding affinity calculations based on molecular dynamics (MD) simulations and non-physical (alchemical) thermodynamic cycles have shown great promise for structure-based drug design. However, their broad uptake and impact is held back by the notoriously complex setup of the calculations. Only a few tools other than the free energy perturbation approach by Schrödinger Inc. (referred to as FEP+) currently enable end-to-end application. Here, we present for the first time an approach based on the open-source software pmx that allows to easily set up and run alchemical calculations for diverse sets of small molecules using the GROMACS MD engine. The method relies on theoretically rigorous non-equilibrium thermodynamic integration (TI) foundations, and its flexibility allows calculations with multiple force fields. In this study, results from the Amber and Charmm force fields were combined to yield a consensus outcome performing on par with the commercial FEP+ approach. A large dataset of 482 perturbations from 13 different protein–ligand datasets led to an average unsigned error (AUE) of 3.64 ± 0.14 kJ mol(−1), equivalent to Schrödinger's FEP+ AUE of 3.66 ± 0.14 kJ mol(−1). For the first time, a setup is presented for overall high precision and high accuracy relative protein–ligand alchemical free energy calculations based on open-source software.
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spelling pubmed-81451792021-06-02 Large scale relative protein ligand binding affinities using non-equilibrium alchemy Gapsys, Vytautas Pérez-Benito, Laura Aldeghi, Matteo Seeliger, Daniel van Vlijmen, Herman Tresadern, Gary de Groot, Bert L. Chem Sci Chemistry Ligand binding affinity calculations based on molecular dynamics (MD) simulations and non-physical (alchemical) thermodynamic cycles have shown great promise for structure-based drug design. However, their broad uptake and impact is held back by the notoriously complex setup of the calculations. Only a few tools other than the free energy perturbation approach by Schrödinger Inc. (referred to as FEP+) currently enable end-to-end application. Here, we present for the first time an approach based on the open-source software pmx that allows to easily set up and run alchemical calculations for diverse sets of small molecules using the GROMACS MD engine. The method relies on theoretically rigorous non-equilibrium thermodynamic integration (TI) foundations, and its flexibility allows calculations with multiple force fields. In this study, results from the Amber and Charmm force fields were combined to yield a consensus outcome performing on par with the commercial FEP+ approach. A large dataset of 482 perturbations from 13 different protein–ligand datasets led to an average unsigned error (AUE) of 3.64 ± 0.14 kJ mol(−1), equivalent to Schrödinger's FEP+ AUE of 3.66 ± 0.14 kJ mol(−1). For the first time, a setup is presented for overall high precision and high accuracy relative protein–ligand alchemical free energy calculations based on open-source software. The Royal Society of Chemistry 2019-12-02 /pmc/articles/PMC8145179/ /pubmed/34084371 http://dx.doi.org/10.1039/c9sc03754c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Gapsys, Vytautas
Pérez-Benito, Laura
Aldeghi, Matteo
Seeliger, Daniel
van Vlijmen, Herman
Tresadern, Gary
de Groot, Bert L.
Large scale relative protein ligand binding affinities using non-equilibrium alchemy
title Large scale relative protein ligand binding affinities using non-equilibrium alchemy
title_full Large scale relative protein ligand binding affinities using non-equilibrium alchemy
title_fullStr Large scale relative protein ligand binding affinities using non-equilibrium alchemy
title_full_unstemmed Large scale relative protein ligand binding affinities using non-equilibrium alchemy
title_short Large scale relative protein ligand binding affinities using non-equilibrium alchemy
title_sort large scale relative protein ligand binding affinities using non-equilibrium alchemy
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145179/
https://www.ncbi.nlm.nih.gov/pubmed/34084371
http://dx.doi.org/10.1039/c9sc03754c
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