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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...

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Autores principales: Rooklin, David, Wang, Cheng, Katigbak, Joseph, Arora, Paramjit S., Zhang, Yingkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2015
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.
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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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