Literature DB >> 25183488

CCharPPI web server: computational characterization of protein-protein interactions from structure.

Iain H Moal1, Brian Jiménez-García1, Juan Fernández-Recio1.   

Abstract

SUMMARY: 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.
AVAILABILITY AND IMPLEMENTATION: The server does not require registration by the user and is freely available for non-commercial academic use at http://life.bsc.es/pid/ccharppi.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 25183488     DOI: 10.1093/bioinformatics/btu594

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  19 in total

1.  Structure-based prediction of Wnt binding affinities for Frizzled-type cysteine-rich domains.

Authors:  Mark Agostino; Sebastian Öther-Gee Pohl; Arun Dharmarajan
Journal:  J Biol Chem       Date:  2017-05-22       Impact factor: 5.157

Review 2.  What method to use for protein-protein docking?

Authors:  Kathryn A Porter; Israel Desta; Dima Kozakov; Sandor Vajda
Journal:  Curr Opin Struct Biol       Date:  2019-02-01       Impact factor: 6.809

3.  Optimisation of human VH domain antibodies specific to Mycobacterium tuberculosis heat shock protein (HSP16.3).

Authors:  Jia Xin Soong; Soo Khim Chan; Theam Soon Lim; Yee Siew Choong
Journal:  J Comput Aided Mol Des       Date:  2019-01-28       Impact factor: 3.686

4.  Updates to the Integrated Protein-Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2.

Authors:  Thom Vreven; Iain H Moal; Anna Vangone; Brian G Pierce; Panagiotis L Kastritis; Mieczyslaw Torchala; Raphael Chaleil; Brian Jiménez-García; Paul A Bates; Juan Fernandez-Recio; Alexandre M J J Bonvin; Zhiping Weng
Journal:  J Mol Biol       Date:  2015-07-29       Impact factor: 5.469

5.  Using collections of structural models to predict changes of binding affinity caused by mutations in protein-protein interactions.

Authors:  Alberto Meseguer; Lluis Dominguez; Patricia M Bota; Joaquim Aguirre-Plans; Jaume Bonet; Narcis Fernandez-Fuentes; Baldo Oliva
Journal:  Protein Sci       Date:  2020-09-05       Impact factor: 6.725

6.  An expanded benchmark for antibody-antigen docking and affinity prediction reveals insights into antibody recognition determinants.

Authors:  Johnathan D Guest; Thom Vreven; Jing Zhou; Iain Moal; Jeliazko R Jeliazkov; Jeffrey J Gray; Zhiping Weng; Brian G Pierce
Journal:  Structure       Date:  2021-02-03       Impact factor: 5.871

7.  Contacts-based prediction of binding affinity in protein-protein complexes.

Authors:  Anna Vangone; Alexandre Mjj Bonvin
Journal:  Elife       Date:  2015-07-20       Impact factor: 8.140

8.  Understanding Insulin Endocrinology in Decapod Crustacea: Molecular Modelling Characterization of an Insulin-Binding Protein and Insulin-Like Peptides in the Eastern Spiny Lobster, Sagmariasus verreauxi.

Authors:  Jennifer C Chandler; Neha S Gandhi; Ricardo L Mancera; Greg Smith; Abigail Elizur; Tomer Ventura
Journal:  Int J Mol Sci       Date:  2017-08-23       Impact factor: 5.923

9.  IRaPPA: information retrieval based integration of biophysical models for protein assembly selection.

Authors:  Iain H Moal; Didier Barradas-Bautista; Brian Jiménez-García; Mieczyslaw Torchala; Arjan van der Velde; Thom Vreven; Zhiping Weng; Paul A Bates; Juan Fernández-Recio
Journal:  Bioinformatics       Date:  2017-06-15       Impact factor: 6.937

10.  Structure-based cross-docking analysis of antibody-antigen interactions.

Authors:  Krishna Praneeth Kilambi; Jeffrey J Gray
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

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