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Evaluating the use of absolute binding free energy in the fragment optimisation process
Key to the fragment optimisation process within drug design is the need to accurately capture the changes in affinity that are associated with a given set of chemical modifications. Due to the weakly binding nature of fragments, this has proven to be a challenging task, despite recent advancements i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814858/ https://www.ncbi.nlm.nih.gov/pubmed/36697714 http://dx.doi.org/10.1038/s42004-022-00721-4 |
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author | Alibay, Irfan Magarkar, Aniket Seeliger, Daniel Biggin, Philip Charles |
author_facet | Alibay, Irfan Magarkar, Aniket Seeliger, Daniel Biggin, Philip Charles |
author_sort | Alibay, Irfan |
collection | PubMed |
description | Key to the fragment optimisation process within drug design is the need to accurately capture the changes in affinity that are associated with a given set of chemical modifications. Due to the weakly binding nature of fragments, this has proven to be a challenging task, despite recent advancements in leveraging experimental and computational methods. In this work, we evaluate the use of Absolute Binding Free Energy (ABFE) calculations in guiding fragment optimisation decisions, retrospectively calculating binding free energies for 59 ligands across 4 fragment elaboration campaigns. We first demonstrate that ABFEs can be used to accurately rank fragment-sized binders with an overall Spearman’s r of 0.89 and a Kendall τ of 0.67, although often deviating from experiment in absolute free energy values with an RMSE of 2.75 kcal/mol. We then also show that in several cases, retrospective fragment optimisation decisions can be supported by the ABFE calculations. Comparing against cheaper endpoint methods, namely N(wat)-MM/GBSA, we find that ABFEs offer better ranking power and correlation metrics. Our results indicate that ABFE calculations can usefully guide fragment elaborations to maximise affinity. |
format | Online Article Text |
id | pubmed-9814858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98148582023-01-10 Evaluating the use of absolute binding free energy in the fragment optimisation process Alibay, Irfan Magarkar, Aniket Seeliger, Daniel Biggin, Philip Charles Commun Chem Article Key to the fragment optimisation process within drug design is the need to accurately capture the changes in affinity that are associated with a given set of chemical modifications. Due to the weakly binding nature of fragments, this has proven to be a challenging task, despite recent advancements in leveraging experimental and computational methods. In this work, we evaluate the use of Absolute Binding Free Energy (ABFE) calculations in guiding fragment optimisation decisions, retrospectively calculating binding free energies for 59 ligands across 4 fragment elaboration campaigns. We first demonstrate that ABFEs can be used to accurately rank fragment-sized binders with an overall Spearman’s r of 0.89 and a Kendall τ of 0.67, although often deviating from experiment in absolute free energy values with an RMSE of 2.75 kcal/mol. We then also show that in several cases, retrospective fragment optimisation decisions can be supported by the ABFE calculations. Comparing against cheaper endpoint methods, namely N(wat)-MM/GBSA, we find that ABFEs offer better ranking power and correlation metrics. Our results indicate that ABFE calculations can usefully guide fragment elaborations to maximise affinity. Nature Publishing Group UK 2022-09-05 /pmc/articles/PMC9814858/ /pubmed/36697714 http://dx.doi.org/10.1038/s42004-022-00721-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Alibay, Irfan Magarkar, Aniket Seeliger, Daniel Biggin, Philip Charles Evaluating the use of absolute binding free energy in the fragment optimisation process |
title | Evaluating the use of absolute binding free energy in the fragment optimisation process |
title_full | Evaluating the use of absolute binding free energy in the fragment optimisation process |
title_fullStr | Evaluating the use of absolute binding free energy in the fragment optimisation process |
title_full_unstemmed | Evaluating the use of absolute binding free energy in the fragment optimisation process |
title_short | Evaluating the use of absolute binding free energy in the fragment optimisation process |
title_sort | evaluating the use of absolute binding free energy in the fragment optimisation process |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814858/ https://www.ncbi.nlm.nih.gov/pubmed/36697714 http://dx.doi.org/10.1038/s42004-022-00721-4 |
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