Evidence map›Paper›PMID 26449222›Full record

ArticleBMC bioinformatics2015

Sequence specificity between interacting and non-interacting homologs identifies interface residues--a homodimer and monomer use case.

Qingzhen Hou, Bas E Dutilh, Martijn A Huynen, Jaap Heringa, K Anton Feenstra

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Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qingzhen HouCenter for Integrative Bioinformatics VU (IBIVU), Vrije University Amsterdam, De Boelelaan 1081A, 1081 HV, Amsterdam, The Netherlands. q.hou@vu.nl.
Bas E DutilhTheoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands. bedutilh@gmail.com.
Martijn A HuynenCentre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 28, 6525 GA, Nijmegen, The Netherlands. m.huynen@cmbi.ru.nl.
Jaap HeringaCenter for Integrative Bioinformatics VU (IBIVU), Vrije University Amsterdam, De Boelelaan 1081A, 1081 HV, Amsterdam, The Netherlands. j.heringa@vu.nl.
K Anton FeenstraCenter for Integrative Bioinformatics VU (IBIVU), Vrije University Amsterdam, De Boelelaan 1081A, 1081 HV, Amsterdam, The Netherlands. k.a.feenstra@vu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein families participating in protein-protein interactions may contain sub-families that have different binding characteristics, ranging from right binding to showing no interaction at all. Composition differences at the sequence level in these sub-families are often decisive to their differential functional interaction. Methods to predict interface sites from protein sequences typically exploit conservation as a signal. Here, instead, we provide proof of concept that the sequence specificity between interacting versus non-interacting groups can be exploited to recognise interaction sites.

resultsWe collected homodimeric and monomeric proteins and formed homologous groups, each having an interacting (homodimer) subgroup and a non-interacting (monomer) subgroup. We then compiled multiple sequence alignments of the proteins in the homologous groups and identified compositional differences between the homodimeric and monomeric subgroups for each of the alignment positions. Our results show that this specificity signal distinguishes interface and other surface residues with 40.9% recall and up to 25.1% precision.

conclusionsTo our best knowledge, this is the first large scale study that exploits sequence specificity between interacting and non-interacting homologs to predict interaction sites from sequence information only. The performance obtained indicates that this signal contains valuable information to identify protein-protein interaction sites.

Indexed as

Area Under CurveDimerizationProtein Interaction Domains and MotifsProteinsROC CurveProteins

Identifiers

PMID26449222
PMCPMC4599308

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