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Identification of hot spot residues at protein-protein interface

It is known that binding free energy of protein-protein interaction is mainly contributed by hot spot (high energy) interface residues. Here, we investigate the characteristics of hot spots by examining inter-atomic sidechain-sidechain interactions using a dataset of 296 alanine-mutated interface re...

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Detalles Bibliográficos
Autores principales: Li, Lei, Zhao, Bing, Cui, Zhanhua, Gan, Jacob, Sakharkar, Meena Kishore, Kangueane, Pandjassarame
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891667/
https://www.ncbi.nlm.nih.gov/pubmed/17597870
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author Li, Lei
Zhao, Bing
Cui, Zhanhua
Gan, Jacob
Sakharkar, Meena Kishore
Kangueane, Pandjassarame
author_facet Li, Lei
Zhao, Bing
Cui, Zhanhua
Gan, Jacob
Sakharkar, Meena Kishore
Kangueane, Pandjassarame
author_sort Li, Lei
collection PubMed
description It is known that binding free energy of protein-protein interaction is mainly contributed by hot spot (high energy) interface residues. Here, we investigate the characteristics of hot spots by examining inter-atomic sidechain-sidechain interactions using a dataset of 296 alanine-mutated interface residues. Results show that hot spots participate in strong and energetically favorable sidechain-sidechain interactions. Subsequently, we describe a novel, yet simple ‘hot spot’ prediction model with an accuracy that is similar to many available approaches. The model is also shown to efficiently distinguish specific protein-protein interactions from non-specific interactions.
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spelling pubmed-18916672007-06-27 Identification of hot spot residues at protein-protein interface Li, Lei Zhao, Bing Cui, Zhanhua Gan, Jacob Sakharkar, Meena Kishore Kangueane, Pandjassarame Bioinformation Hypothesis It is known that binding free energy of protein-protein interaction is mainly contributed by hot spot (high energy) interface residues. Here, we investigate the characteristics of hot spots by examining inter-atomic sidechain-sidechain interactions using a dataset of 296 alanine-mutated interface residues. Results show that hot spots participate in strong and energetically favorable sidechain-sidechain interactions. Subsequently, we describe a novel, yet simple ‘hot spot’ prediction model with an accuracy that is similar to many available approaches. The model is also shown to efficiently distinguish specific protein-protein interactions from non-specific interactions. Biomedical Informatics Publishing Group 2006-04-04 /pmc/articles/PMC1891667/ /pubmed/17597870 Text en © 2006 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Li, Lei
Zhao, Bing
Cui, Zhanhua
Gan, Jacob
Sakharkar, Meena Kishore
Kangueane, Pandjassarame
Identification of hot spot residues at protein-protein interface
title Identification of hot spot residues at protein-protein interface
title_full Identification of hot spot residues at protein-protein interface
title_fullStr Identification of hot spot residues at protein-protein interface
title_full_unstemmed Identification of hot spot residues at protein-protein interface
title_short Identification of hot spot residues at protein-protein interface
title_sort identification of hot spot residues at protein-protein interface
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891667/
https://www.ncbi.nlm.nih.gov/pubmed/17597870
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