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AlphaSpace: Fragment-Centric Topographical Mapping To Target Protein–Protein Interaction Interfaces
[Image: see text] Inhibition of protein–protein interactions (PPIs) is emerging as a promising therapeutic strategy despite the difficulty in targeting such interfaces with drug-like small molecules. PPIs generally feature large and flat binding surfaces as compared to typical drug targets. These fe...
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/PMC4550072/ https://www.ncbi.nlm.nih.gov/pubmed/26225450 http://dx.doi.org/10.1021/acs.jcim.5b00103 |
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author | Rooklin, David Wang, Cheng Katigbak, Joseph Arora, Paramjit S. Zhang, Yingkai |
author_facet | Rooklin, David Wang, Cheng Katigbak, Joseph Arora, Paramjit S. Zhang, Yingkai |
author_sort | Rooklin, David |
collection | PubMed |
description | [Image: see text] Inhibition of protein–protein interactions (PPIs) is emerging as a promising therapeutic strategy despite the difficulty in targeting such interfaces with drug-like small molecules. PPIs generally feature large and flat binding surfaces as compared to typical drug targets. These features pose a challenge for structural characterization of the surface using geometry-based pocket-detection methods. An attractive mapping strategy—that builds on the principles of fragment-based drug discovery (FBDD)—is to detect the fragment-centric modularity at the protein surface and then characterize the large PPI interface as a set of localized, fragment-targetable interaction regions. Here, we introduce AlphaSpace, a computational analysis tool designed for fragment-centric topographical mapping (FCTM) of PPI interfaces. Our approach uses the alpha sphere construct, a geometric feature of a protein’s Voronoi diagram, to map out concave interaction space at the protein surface. We introduce two new features—alpha-atom and alpha-space—and the concept of the alpha-atom/alpha-space pair to rank pockets for fragment-targetability and to facilitate the evaluation of pocket/fragment complementarity. The resulting high-resolution interfacial map of targetable pocket space can be used to guide the rational design and optimization of small molecule or biomimetic PPI inhibitors. |
format | Online Article Text |
id | pubmed-4550072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-45500722016-07-30 AlphaSpace: Fragment-Centric Topographical Mapping To Target Protein–Protein Interaction Interfaces Rooklin, David Wang, Cheng Katigbak, Joseph Arora, Paramjit S. Zhang, Yingkai J Chem Inf Model [Image: see text] Inhibition of protein–protein interactions (PPIs) is emerging as a promising therapeutic strategy despite the difficulty in targeting such interfaces with drug-like small molecules. PPIs generally feature large and flat binding surfaces as compared to typical drug targets. These features pose a challenge for structural characterization of the surface using geometry-based pocket-detection methods. An attractive mapping strategy—that builds on the principles of fragment-based drug discovery (FBDD)—is to detect the fragment-centric modularity at the protein surface and then characterize the large PPI interface as a set of localized, fragment-targetable interaction regions. Here, we introduce AlphaSpace, a computational analysis tool designed for fragment-centric topographical mapping (FCTM) of PPI interfaces. Our approach uses the alpha sphere construct, a geometric feature of a protein’s Voronoi diagram, to map out concave interaction space at the protein surface. We introduce two new features—alpha-atom and alpha-space—and the concept of the alpha-atom/alpha-space pair to rank pockets for fragment-targetability and to facilitate the evaluation of pocket/fragment complementarity. The resulting high-resolution interfacial map of targetable pocket space can be used to guide the rational design and optimization of small molecule or biomimetic PPI inhibitors. American Chemical Society 2015-07-30 2015-08-24 /pmc/articles/PMC4550072/ /pubmed/26225450 http://dx.doi.org/10.1021/acs.jcim.5b00103 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 | Rooklin, David Wang, Cheng Katigbak, Joseph Arora, Paramjit S. Zhang, Yingkai AlphaSpace: Fragment-Centric Topographical Mapping To Target Protein–Protein Interaction Interfaces |
title | AlphaSpace: Fragment-Centric Topographical Mapping
To Target Protein–Protein Interaction Interfaces |
title_full | AlphaSpace: Fragment-Centric Topographical Mapping
To Target Protein–Protein Interaction Interfaces |
title_fullStr | AlphaSpace: Fragment-Centric Topographical Mapping
To Target Protein–Protein Interaction Interfaces |
title_full_unstemmed | AlphaSpace: Fragment-Centric Topographical Mapping
To Target Protein–Protein Interaction Interfaces |
title_short | AlphaSpace: Fragment-Centric Topographical Mapping
To Target Protein–Protein Interaction Interfaces |
title_sort | alphaspace: fragment-centric topographical mapping
to target protein–protein interaction interfaces |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550072/ https://www.ncbi.nlm.nih.gov/pubmed/26225450 http://dx.doi.org/10.1021/acs.jcim.5b00103 |
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