Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation

Abstract Absolute binding free energy calculations with explicit solvent molecular simulations can provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to find new drug candidates. However, these calculations can be complex to implement and perform. Here, we intr...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Germano Heinzelmann, Michael K. Gilson
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/a364c3436369474ba4dc7d8ed0d515fb
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:a364c3436369474ba4dc7d8ed0d515fb
record_format dspace
spelling oai:doaj.org-article:a364c3436369474ba4dc7d8ed0d515fb2021-12-02T15:23:00ZAutomation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation10.1038/s41598-020-80769-12045-2322https://doaj.org/article/a364c3436369474ba4dc7d8ed0d515fb2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80769-1https://doaj.org/toc/2045-2322Abstract Absolute binding free energy calculations with explicit solvent molecular simulations can provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to find new drug candidates. However, these calculations can be complex to implement and perform. Here, we introduce the software BAT.py, a Python tool that invokes the AMBER simulation package to automate the calculation of binding free energies for a protein with a series of ligands. The software supports the attach-pull-release (APR) and double decoupling (DD) binding free energy methods, as well as the simultaneous decoupling-recoupling (SDR) method, a variant of double decoupling that avoids numerical artifacts associated with charged ligands. We report encouraging initial test applications of this software both to re-rank docked poses and to estimate overall binding free energies. We also show that it is practical to carry out these calculations cheaply by using graphical processing units in common machines that can be built for this purpose. The combination of automation and low cost positions this procedure to be applied in a relatively high-throughput mode and thus stands to enable new applications in early-stage drug discovery.Germano HeinzelmannMichael K. GilsonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Germano Heinzelmann
Michael K. Gilson
Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
description Abstract Absolute binding free energy calculations with explicit solvent molecular simulations can provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to find new drug candidates. However, these calculations can be complex to implement and perform. Here, we introduce the software BAT.py, a Python tool that invokes the AMBER simulation package to automate the calculation of binding free energies for a protein with a series of ligands. The software supports the attach-pull-release (APR) and double decoupling (DD) binding free energy methods, as well as the simultaneous decoupling-recoupling (SDR) method, a variant of double decoupling that avoids numerical artifacts associated with charged ligands. We report encouraging initial test applications of this software both to re-rank docked poses and to estimate overall binding free energies. We also show that it is practical to carry out these calculations cheaply by using graphical processing units in common machines that can be built for this purpose. The combination of automation and low cost positions this procedure to be applied in a relatively high-throughput mode and thus stands to enable new applications in early-stage drug discovery.
format article
author Germano Heinzelmann
Michael K. Gilson
author_facet Germano Heinzelmann
Michael K. Gilson
author_sort Germano Heinzelmann
title Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
title_short Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
title_full Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
title_fullStr Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
title_full_unstemmed Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
title_sort automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/a364c3436369474ba4dc7d8ed0d515fb
work_keys_str_mv AT germanoheinzelmann automationofabsoluteproteinligandbindingfreeenergycalculationsfordockingrefinementandcompoundevaluation
AT michaelkgilson automationofabsoluteproteinligandbindingfreeenergycalculationsfordockingrefinementandcompoundevaluation
_version_ 1718387344478830592