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Rapid and Reliable Binding Affinity Prediction of Bromodomain Inhibitors: A Computational Study
[Image: see text] Binding free energies of bromodomain inhibitors are calculated with recently formulated approaches, namely ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) and TIES (thermodynamic integration with enhanced sampling). A set of compounds is pro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312866/ https://www.ncbi.nlm.nih.gov/pubmed/28005370 http://dx.doi.org/10.1021/acs.jctc.6b00794 |
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author | Wan, Shunzhou Bhati, Agastya P. Zasada, Stefan J. Wall, Ian Green, Darren Bamborough, Paul Coveney, Peter V. |
author_facet | Wan, Shunzhou Bhati, Agastya P. Zasada, Stefan J. Wall, Ian Green, Darren Bamborough, Paul Coveney, Peter V. |
author_sort | Wan, Shunzhou |
collection | PubMed |
description | [Image: see text] Binding free energies of bromodomain inhibitors are calculated with recently formulated approaches, namely ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) and TIES (thermodynamic integration with enhanced sampling). A set of compounds is provided by GlaxoSmithKline, which represents a range of chemical functionality and binding affinities. The predicted binding free energies exhibit a good Spearman correlation of 0.78 with the experimental data from the 3-trajectory ESMACS, and an excellent correlation of 0.92 from the TIES approach where applicable. Given access to suitable high end computing resources and a high degree of automation, we can compute individual binding affinities in a few hours with precisions no greater than 0.2 kcal/mol for TIES, and no larger than 0.34 and 1.71 kcal/mol for the 1- and 3-trajectory ESMACS approaches. |
format | Online Article Text |
id | pubmed-5312866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-53128662017-02-17 Rapid and Reliable Binding Affinity Prediction of Bromodomain Inhibitors: A Computational Study Wan, Shunzhou Bhati, Agastya P. Zasada, Stefan J. Wall, Ian Green, Darren Bamborough, Paul Coveney, Peter V. J Chem Theory Comput [Image: see text] Binding free energies of bromodomain inhibitors are calculated with recently formulated approaches, namely ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) and TIES (thermodynamic integration with enhanced sampling). A set of compounds is provided by GlaxoSmithKline, which represents a range of chemical functionality and binding affinities. The predicted binding free energies exhibit a good Spearman correlation of 0.78 with the experimental data from the 3-trajectory ESMACS, and an excellent correlation of 0.92 from the TIES approach where applicable. Given access to suitable high end computing resources and a high degree of automation, we can compute individual binding affinities in a few hours with precisions no greater than 0.2 kcal/mol for TIES, and no larger than 0.34 and 1.71 kcal/mol for the 1- and 3-trajectory ESMACS approaches. American Chemical Society 2016-12-22 2017-02-14 /pmc/articles/PMC5312866/ /pubmed/28005370 http://dx.doi.org/10.1021/acs.jctc.6b00794 Text en Copyright © 2016 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Wan, Shunzhou Bhati, Agastya P. Zasada, Stefan J. Wall, Ian Green, Darren Bamborough, Paul Coveney, Peter V. Rapid and Reliable Binding Affinity Prediction of Bromodomain Inhibitors: A Computational Study |
title | Rapid and Reliable Binding Affinity Prediction of
Bromodomain Inhibitors: A Computational Study |
title_full | Rapid and Reliable Binding Affinity Prediction of
Bromodomain Inhibitors: A Computational Study |
title_fullStr | Rapid and Reliable Binding Affinity Prediction of
Bromodomain Inhibitors: A Computational Study |
title_full_unstemmed | Rapid and Reliable Binding Affinity Prediction of
Bromodomain Inhibitors: A Computational Study |
title_short | Rapid and Reliable Binding Affinity Prediction of
Bromodomain Inhibitors: A Computational Study |
title_sort | rapid and reliable binding affinity prediction of
bromodomain inhibitors: a computational study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312866/ https://www.ncbi.nlm.nih.gov/pubmed/28005370 http://dx.doi.org/10.1021/acs.jctc.6b00794 |
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