DynaFace: Discrimination between Obligatory and Non-obligatory Protein-Protein Interactions Based on the Complex’s Dynamics

Seren Soner, Pemra Ozbek, Jose Ignacio Garzon, Nir Ben-Tal, Turkan Haliloglu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Protein-protein interfaces have been evolutionarily-designed to enable transduction between the interacting proteins. Thus, we hypothesize that analysis of the dynamics of the complex can reveal details about the nature of the interaction, and in particular whether it is obligatory, i.e., persists throughout the entire lifetime of the proteins, or not. Indeed, normal mode analysis, using the Gaussian network model, shows that for the most part obligatory and non-obligatory complexes differ in their decomposition into dynamic domains, i.e., the mobile elements of the protein complex. The dynamic domains of obligatory complexes often mix segments from the interacting chains, and the hinges between them do not overlap with the interface between the chains. In contrast, in non-obligatory complexes the interface often hinges between dynamic domains, held together through few anchor residues on one side of the interface that interact with their counterpart grooves in the other end. In automatic analysis, 117 of 139 obligatory (84.2%) and 203 of 246 non-obligatory (82.5%) complexes are correctly classified by our method: DynaFace. We further use DynaFace to predict obligatory and non-obligatory interactions among a set of 300 putative protein complexes. DynaFace is available at: http://safir.prc.boun.edu.tr/dynaface.

Original languageEnglish
Article numbere1004461
JournalPLoS Computational Biology
Volume11
Issue number10
DOIs
StatePublished - 2015

Funding

FundersFunder number
Israel Science Foundation
National Institutes of HealthGM030518
North Atlantic Treaty OrganizationCLG.984340
Nuts, Bolts & Thingamajigs Foundation1775/12
NIH Office of the DirectorS10OD012351
National Institute of General Medical SciencesR01GM030518

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