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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2015
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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. |
format | Online Article Text |
id | pubmed-4410907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
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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