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CCharPPI web server: computational characterization of protein–protein interactions from structure

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10.1093/bioinformatics/btu594
 
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hdl:2117/103452

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Moal, Iain H.
Jiménez-Garcia, Brian
Fernández-Recio, Juan
Document typeArticle
Defense date2014-09-02
PublisherOxford University Press
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectDESARROLLO DE NUEVAS METODOLOGIAS DE DOCKING ENTRE PROTEINAS PARA LOS RETOS DE INTERACTOMICA Y MEDICINA PERSONALIZADA (MINECO-BIO2013-48213-R)
EEPPIBM - Exploring the evolution of protein-protein interactions and their networks using biophysical models (EC-FP7-327899)
Abstract
The atomic structures of protein–protein interactions are central to understanding their role in biological systems, and a wide variety of biophysical functions and potentials have been developed for their characterization and the construction of predictive models. These tools are scattered across a multitude of stand-alone programs, and are often available only as model parameters requiring reimplementation. This acts as a significant barrier to their widespread adoption. CCharPPI integrates many of these tools into a single web server. It calculates up to 108 parameters, including models of electrostatics, desolvation and hydrogen bonding, as well as interface packing and complementarity scores, empirical potentials at various resolutions, docking potentials and composite scoring functions.
CitationMoal, I. H.; Jiménez-Garcia, B.; Fernández-Recio, J. CCharPPI web server: computational characterization of protein–protein interactions from structure. "Bioinformatics", 2 Setembre 2014, vol. 31, núm. 1, p. 123-125. 
URIhttp://hdl.handle.net/2117/103452
DOI10.1093/bioinformatics/btu594
ISSN1367-4803
Publisher versionhttps://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btu594
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