Comprehensive, atomic-level characterization of structurally characterized protein-protein interactions: The PICCOLO database

52Citations
Citations of this article
91Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Structural studies are increasingly providing huge amounts of information on multi-protein assemblies. Although a complete understanding of cellular processes will be dependent on an explicit characterization of the intermolecular interactions that underlie these assemblies and mediate molecular recognition, these are not well described by standard representations.Results: Here we present PICCOLO, a comprehensive relational database capturing the details of structurally characterized protein-protein interactions. Interactions are described at the level of interacting pairs of atoms, residues and polypeptide chains, with the physico-chemical nature of the interactions being characterized. Distance and angle terms are used to distinguish 12 different interaction types, including van der Waals contacts, hydrogen bonds and hydrophobic contacts. The explicit aim of PICCOLO is to underpin large-scale analyses of the properties of protein-protein interfaces. This is exemplified by an analysis of residue propensity and interface contact preferences derived from a much larger data set than previously reported. However, PICCOLO also supports detailed inspection of particular systems of interest.Conclusions: The current PICCOLO database comprises more than 260 million interacting atom pairs from 38,202 protein complexes. A web interface for the database is available at http://www-cryst.bioc.cam.ac.uk/piccolo. © 2011 Bickerton et al; licensee BioMed Central Ltd.

Cite

CITATION STYLE

APA

Bickerton, G. R., Higueruelo, A. P., & Blundell, T. L. (2011). Comprehensive, atomic-level characterization of structurally characterized protein-protein interactions: The PICCOLO database. BMC Bioinformatics, 12. https://doi.org/10.1186/1471-2105-12-313

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free