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PRODIGY, a web server to predict of binding affinities in protein-protein complexes
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http://maxbaillie.com/wp-cron.php?doing_wp_cron=1468965424.4381299018859863281250 vincite con opzioni binarie Anna Vangone
Bijvoet Center for Biomolecular Research
Science Faculty/Chemistry, Utrecht University
Padualaan 8, 3584CH Utrecht, the Netherlands
Abstract: PRODIGY (PROtein binDIng enerGY prediction) web server predicts of the binding affinities in protein-protein complexes. PRODIGY implements a simple but robust descriptor of binding affinity based only on structural properties of protein-protein complexes, that are introduced in Vangone & Bonvin, eLife (2015). Using the protein-protein binding affinity benchmark of Kastritis et al. 2011 we showed that the number of interfacial contacts (ICs) correlates with the experimental binding affinity. This information, combined with properties of the non-interacting surface (NIS) which have been shown to influence binding affinity (Kastritis at el. (2014)), has led to one of the best performing predictor so far reported on such a large and heterogeneous set of data.
Vangone A. and Bonvin A.M.J.J. “Contact-based prediction of binding affinity in protein-protein complexes”, eLife, 4, e07454 (2015).
Xue L., Rodrigues J., Kastritis P., Bonvin A.M.J.J.*, Vangone A.*, “PRODIGY: a web-server for predicting the binding affinity in protein-protein complexes”. Bioinformatics, doi:10.1093/bioinformatics/btw514.
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