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Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach

[Image: see text] Protein–ligand binding is a key biological process at the molecular level. The identification and characterization of small-molecule binding sites on therapeutically relevant proteins have tremendous implications for target evaluation and rational drug design. In this work, we used...

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Autores principales: Guo, Zuojun, Li, Bo, Cheng, Li-Tien, Zhou, Shenggao, McCammon, J. Andrew, Che, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2015
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410907/
https://www.ncbi.nlm.nih.gov/pubmed/25941465
http://dx.doi.org/10.1021/ct500867u
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author Guo, Zuojun
Li, Bo
Cheng, Li-Tien
Zhou, Shenggao
McCammon, J. Andrew
Che, Jianwei
author_facet Guo, Zuojun
Li, Bo
Cheng, Li-Tien
Zhou, Shenggao
McCammon, J. Andrew
Che, Jianwei
author_sort Guo, Zuojun
collection PubMed
description [Image: see text] Protein–ligand binding is a key biological process at the molecular level. The identification and characterization of small-molecule binding sites on therapeutically relevant proteins have tremendous implications for target evaluation and rational drug design. In this work, we used the recently developed level-set variational implicit-solvent model (VISM) with the Coulomb field approximation (CFA) to locate and characterize potential protein–small-molecule binding sites. We applied our method to a data set of 515 protein–ligand complexes and found that 96.9% of the cocrystallized ligands bind to the VISM-CFA-identified pockets and that 71.8% of the identified pockets are occupied by cocrystallized ligands. For 228 tight-binding protein–ligand complexes (i.e, complexes with experimental pK(d) values larger than 6), 99.1% of the cocrystallized ligands are in the VISM-CFA-identified pockets. In addition, it was found that the ligand binding orientations are consistent with the hydrophilic and hydrophobic descriptions provided by VISM. Quantitative characterization of binding pockets with topological and physicochemical parameters was used to assess the “ligandability” of the pockets. The results illustrate the key interactions between ligands and receptors and can be very informative for rational drug design.
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spelling pubmed-44109072016-01-07 Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach Guo, Zuojun Li, Bo Cheng, Li-Tien Zhou, Shenggao McCammon, J. Andrew Che, Jianwei J Chem Theory Comput [Image: see text] Protein–ligand binding is a key biological process at the molecular level. The identification and characterization of small-molecule binding sites on therapeutically relevant proteins have tremendous implications for target evaluation and rational drug design. In this work, we used the recently developed level-set variational implicit-solvent model (VISM) with the Coulomb field approximation (CFA) to locate and characterize potential protein–small-molecule binding sites. We applied our method to a data set of 515 protein–ligand complexes and found that 96.9% of the cocrystallized ligands bind to the VISM-CFA-identified pockets and that 71.8% of the identified pockets are occupied by cocrystallized ligands. For 228 tight-binding protein–ligand complexes (i.e, complexes with experimental pK(d) values larger than 6), 99.1% of the cocrystallized ligands are in the VISM-CFA-identified pockets. In addition, it was found that the ligand binding orientations are consistent with the hydrophilic and hydrophobic descriptions provided by VISM. Quantitative characterization of binding pockets with topological and physicochemical parameters was used to assess the “ligandability” of the pockets. The results illustrate the key interactions between ligands and receptors and can be very informative for rational drug design. American Chemical Society 2015-01-07 2015-02-10 /pmc/articles/PMC4410907/ /pubmed/25941465 http://dx.doi.org/10.1021/ct500867u Text en Copyright © 2015 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Guo, Zuojun
Li, Bo
Cheng, Li-Tien
Zhou, Shenggao
McCammon, J. Andrew
Che, Jianwei
Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach
title Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach
title_full Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach
title_fullStr Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach
title_full_unstemmed Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach
title_short Identification of Protein–Ligand Binding Sites by the Level-Set Variational Implicit-Solvent Approach
title_sort identification of protein–ligand binding sites by the level-set variational implicit-solvent approach
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410907/
https://www.ncbi.nlm.nih.gov/pubmed/25941465
http://dx.doi.org/10.1021/ct500867u
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