Literature DB >> 19280599

Shelling the Voronoi interface of protein-protein complexes reveals patterns of residue conservation, dynamics, and composition.

Benjamin Bouvier1, Raik Grünberg, Michael Nilges, Frédéric Cazals.   

Abstract

The accurate description and analysis of protein-protein interfaces remains a challenging task. Traditional definitions, based on atomic contacts or changes in solvent accessibility, tend to over- or underpredict the interface itself and cannot discriminate active from less relevant parts. We here extend a fast, parameter-free and purely geometric definition of protein interfaces and introduce the shelling order of Voronoi facets as a novel measure for an atom's depth inside the interface. Our analysis of 54 protein-protein complexes reveals a strong correlation between Voronoi Shelling Order (VSO) and water dynamics. High Voronoi Shelling Orders coincide with residues that were found shielded from bulk water fluctuations in a recent molecular dynamics study. Yet, VSO predicts such "dry" residues without consideration of forcefields or dynamics at a dramatically reduced cost. The interface center is enriched in hydrophobic residues. Yet, this hydrophobic centering is not universal and does not mirror the far stronger geometric bias of water fluxes. The seemingly complex water dynamics at protein interfaces appears thus largely controlled by geometry. Sequence analysis supports the functional relevance of dry residues and residues with high VSO, both of which tend to be more conserved. On closer inspection, the spatial distribution of conservation argues against the arbitrary dissection into core or rim and thus refines previous results. Voronoi Shelling Order reveals clear geometric patterns in protein interface composition, function and dynamics and facilitates the comparative analysis of protein-protein interactions. 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19280599     DOI: 10.1002/prot.22381

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  10 in total

1.  Predicting binding poses and affinities for protein - ligand complexes in the 2015 D3R Grand Challenge using a physical model with a statistical parameter estimation.

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Journal:  J Comput Aided Mol Des       Date:  2016-10-07       Impact factor: 3.686

2.  Protein-protein interactions leave evolutionary footprints: High molecular coevolution at the core of interfaces.

Authors:  Elin Teppa; Diego Javier Zea; Cristina Marino-Buslje
Journal:  Protein Sci       Date:  2017-10-25       Impact factor: 6.725

3.  Evolutionary diversification of protein-protein interactions by interface add-ons.

Authors:  Maximilian G Plach; Florian Semmelmann; Florian Busch; Markus Busch; Leonhard Heizinger; Vicki H Wysocki; Rainer Merkl; Reinhard Sterner
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-18       Impact factor: 11.205

4.  Positive selection differs between protein secondary structure elements in Drosophila.

Authors:  Kate E Ridout; Christopher J Dixon; Dmitry A Filatov
Journal:  Genome Biol Evol       Date:  2010-07-12       Impact factor: 3.416

5.  Beta atomic contacts: identifying critical specific contacts in protein binding interfaces.

Authors:  Qian Liu; Chee Keong Kwoh; Steven C H Hoi
Journal:  PLoS One       Date:  2013-04-22       Impact factor: 3.240

6.  Specialized Dynamical Properties of Promiscuous Residues Revealed by Simulated Conformational Ensembles.

Authors:  Arianna Fornili; Alessandro Pandini; Hui-Chun Lu; Franca Fraternali
Journal:  J Chem Theory Comput       Date:  2013-09-27       Impact factor: 6.006

7.  Algorithmic approaches to protein-protein interaction site prediction.

Authors:  Tristan T Aumentado-Armstrong; Bogdan Istrate; Robert A Murgita
Journal:  Algorithms Mol Biol       Date:  2015-02-15       Impact factor: 1.405

8.  CRF-based models of protein surfaces improve protein-protein interaction site predictions.

Authors:  Zhijie Dong; Keyu Wang; Truong Khanh Linh Dang; Mehmet Gültas; Marlon Welter; Torsten Wierschin; Mario Stanke; Stephan Waack
Journal:  BMC Bioinformatics       Date:  2014-08-13       Impact factor: 3.169

9.  Novel Structural Parameters of Ig-Ag Complexes Yield a Quantitative Description of Interaction Specificity and Binding Affinity.

Authors:  Simon Marillet; Marie-Paule Lefranc; Pierre Boudinot; Frédéric Cazals
Journal:  Front Immunol       Date:  2017-02-09       Impact factor: 7.561

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

Authors:  Qingzhen Hou; Bas E Dutilh; Martijn A Huynen; Jaap Heringa; K Anton Feenstra
Journal:  BMC Bioinformatics       Date:  2015-10-08       Impact factor: 3.169

  10 in total

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