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Binding Affinity Prediction for Ligands and Receptors Forming Tautomers and Ionization Species: Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase 2 (MK2)
[Image: see text] Treatment of ionization and tautomerism of ligands and receptors is one of the unresolved issues in structure-based prediction of binding affinities. Our solution utilizes the thermodynamic master equation, expressing the experimentally observed association constant as the sum of p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315360/ https://www.ncbi.nlm.nih.gov/pubmed/22280316 http://dx.doi.org/10.1021/jm201217q |
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author | Natesan, Senthil Subramaniam, Rajesh Bergeron, Charles Balaz, Stefan |
author_facet | Natesan, Senthil Subramaniam, Rajesh Bergeron, Charles Balaz, Stefan |
author_sort | Natesan, Senthil |
collection | PubMed |
description | [Image: see text] Treatment of ionization and tautomerism of ligands and receptors is one of the unresolved issues in structure-based prediction of binding affinities. Our solution utilizes the thermodynamic master equation, expressing the experimentally observed association constant as the sum of products, each valid for a specific ligand–receptor species pair, consisting of the association microconstant and the fractions of the involved ligand and receptor species. The microconstants are characterized by structure-based simulations, which are run for individual species pairs. Here we incorporated the multispecies approach into the QM/MM linear response method and used it for structural correlation of published inhibition data on mitogen-activated protein kinase (MAPK)-activated protein kinase (MK2) by 66 benzothiophene and pyrrolopyridine analogues, forming up to five tautomers and seven ionization species under experimental conditions. Extensive cross-validation showed that the resulting models were stable and predictive. Inclusion of all tautomers and ionization ligand species was essential: the explained variance increased to 90% from 66% for the single-species model. |
format | Online Article Text |
id | pubmed-3315360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-33153602012-03-29 Binding Affinity Prediction for Ligands and Receptors Forming Tautomers and Ionization Species: Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase 2 (MK2) Natesan, Senthil Subramaniam, Rajesh Bergeron, Charles Balaz, Stefan J Med Chem [Image: see text] Treatment of ionization and tautomerism of ligands and receptors is one of the unresolved issues in structure-based prediction of binding affinities. Our solution utilizes the thermodynamic master equation, expressing the experimentally observed association constant as the sum of products, each valid for a specific ligand–receptor species pair, consisting of the association microconstant and the fractions of the involved ligand and receptor species. The microconstants are characterized by structure-based simulations, which are run for individual species pairs. Here we incorporated the multispecies approach into the QM/MM linear response method and used it for structural correlation of published inhibition data on mitogen-activated protein kinase (MAPK)-activated protein kinase (MK2) by 66 benzothiophene and pyrrolopyridine analogues, forming up to five tautomers and seven ionization species under experimental conditions. Extensive cross-validation showed that the resulting models were stable and predictive. Inclusion of all tautomers and ionization ligand species was essential: the explained variance increased to 90% from 66% for the single-species model. American Chemical Society 2012-01-26 2012-03-08 /pmc/articles/PMC3315360/ /pubmed/22280316 http://dx.doi.org/10.1021/jm201217q Text en Copyright © 2012 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org. |
spellingShingle | Natesan, Senthil Subramaniam, Rajesh Bergeron, Charles Balaz, Stefan Binding Affinity Prediction for Ligands and Receptors Forming Tautomers and Ionization Species: Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase 2 (MK2) |
title | Binding Affinity Prediction
for Ligands and Receptors Forming Tautomers and Ionization Species:
Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase
2 (MK2) |
title_full | Binding Affinity Prediction
for Ligands and Receptors Forming Tautomers and Ionization Species:
Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase
2 (MK2) |
title_fullStr | Binding Affinity Prediction
for Ligands and Receptors Forming Tautomers and Ionization Species:
Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase
2 (MK2) |
title_full_unstemmed | Binding Affinity Prediction
for Ligands and Receptors Forming Tautomers and Ionization Species:
Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase
2 (MK2) |
title_short | Binding Affinity Prediction
for Ligands and Receptors Forming Tautomers and Ionization Species:
Inhibition of Mitogen-Activated Protein Kinase-Activated Protein Kinase
2 (MK2) |
title_sort | binding affinity prediction
for ligands and receptors forming tautomers and ionization species:
inhibition of mitogen-activated protein kinase-activated protein kinase
2 (mk2) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315360/ https://www.ncbi.nlm.nih.gov/pubmed/22280316 http://dx.doi.org/10.1021/jm201217q |
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