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Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking

Simulating drug binding and unbinding is a challenge, as the rugged energy landscapes that separate bound and unbound states require extensive sampling that consumes significant computational resources. Here, we describe the use of interactive molecular dynamics in virtual reality (iMD-VR) as an acc...

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Autores principales: Deeks, Helen M., Walters, Rebecca K., Hare, Stephanie R., O’Connor, Michael B., Mulholland, Adrian J., Glowacki, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065745/
https://www.ncbi.nlm.nih.gov/pubmed/32160194
http://dx.doi.org/10.1371/journal.pone.0228461
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author Deeks, Helen M.
Walters, Rebecca K.
Hare, Stephanie R.
O’Connor, Michael B.
Mulholland, Adrian J.
Glowacki, David R.
author_facet Deeks, Helen M.
Walters, Rebecca K.
Hare, Stephanie R.
O’Connor, Michael B.
Mulholland, Adrian J.
Glowacki, David R.
author_sort Deeks, Helen M.
collection PubMed
description Simulating drug binding and unbinding is a challenge, as the rugged energy landscapes that separate bound and unbound states require extensive sampling that consumes significant computational resources. Here, we describe the use of interactive molecular dynamics in virtual reality (iMD-VR) as an accurate low-cost strategy for flexible protein-ligand docking. We outline an experimental protocol which enables expert iMD-VR users to guide ligands into and out of the binding pockets of trypsin, neuraminidase, and HIV-1 protease, and recreate their respective crystallographic protein-ligand binding poses within 5–10 minutes. Following a brief training phase, our studies shown that iMD-VR novices were able to generate unbinding and rebinding pathways on similar timescales as iMD-VR experts, with the majority able to recover binding poses within 2.15 Å RMSD of the crystallographic binding pose. These results indicate that iMD-VR affords sufficient control for users to carry out the detailed atomic manipulations required to dock flexible ligands into dynamic enzyme active sites and recover crystallographic poses, offering an interesting new approach for simulating drug docking and generating binding hypotheses.
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spelling pubmed-70657452020-03-23 Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking Deeks, Helen M. Walters, Rebecca K. Hare, Stephanie R. O’Connor, Michael B. Mulholland, Adrian J. Glowacki, David R. PLoS One Research Article Simulating drug binding and unbinding is a challenge, as the rugged energy landscapes that separate bound and unbound states require extensive sampling that consumes significant computational resources. Here, we describe the use of interactive molecular dynamics in virtual reality (iMD-VR) as an accurate low-cost strategy for flexible protein-ligand docking. We outline an experimental protocol which enables expert iMD-VR users to guide ligands into and out of the binding pockets of trypsin, neuraminidase, and HIV-1 protease, and recreate their respective crystallographic protein-ligand binding poses within 5–10 minutes. Following a brief training phase, our studies shown that iMD-VR novices were able to generate unbinding and rebinding pathways on similar timescales as iMD-VR experts, with the majority able to recover binding poses within 2.15 Å RMSD of the crystallographic binding pose. These results indicate that iMD-VR affords sufficient control for users to carry out the detailed atomic manipulations required to dock flexible ligands into dynamic enzyme active sites and recover crystallographic poses, offering an interesting new approach for simulating drug docking and generating binding hypotheses. Public Library of Science 2020-03-11 /pmc/articles/PMC7065745/ /pubmed/32160194 http://dx.doi.org/10.1371/journal.pone.0228461 Text en © 2020 Deeks et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Deeks, Helen M.
Walters, Rebecca K.
Hare, Stephanie R.
O’Connor, Michael B.
Mulholland, Adrian J.
Glowacki, David R.
Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
title Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
title_full Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
title_fullStr Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
title_full_unstemmed Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
title_short Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
title_sort interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065745/
https://www.ncbi.nlm.nih.gov/pubmed/32160194
http://dx.doi.org/10.1371/journal.pone.0228461
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