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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...

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Detalles Bibliográficos
Autores principales: Natesan, Senthil, Subramaniam, Rajesh, Bergeron, Charles, Balaz, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2012
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
Descripción
Sumario:[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.