PRODIGY: a web server for predicting the binding affinity of protein-protein complexes

Li Xue; João Garcia Lopes Maia Rodrigues; Panagiotis L Kastritis; Alexandre Mjj Bonvin; Anna Vangone

doi:10.1093/bioinformatics/btw514

PRODIGY: a web server for predicting the binding affinity of protein-protein complexes

Li Xue, João Garcia Lopes Maia Rodrigues, Panagiotis L Kastritis, Alexandre Mjj Bonvin, Anna Vangone

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Gaining insights into the structural determinants of protein-protein interactions holds the key for a deeper understanding of biological functions, diseases and development of therapeutics. An important aspect of this is the ability to accurately predict the binding strength for a given protein-protein complex. Here we present PROtein binDIng enerGY prediction (PRODIGY), a web server to predict the binding affinity of protein-protein complexes from their 3D structure. The PRODIGY server implements our simple but highly effective predictive model based on intermolecular contacts and properties derived from non-interface surface.

AVAILABILITY AND IMPLEMENTATION: PRODIGY is freely available at: http://milou.science.uu.nl/services/PRODIGY CONTACT: [email protected], [email protected].

Original language	English
Pages (from-to)	3676-3678
Number of pages	3
Journal	Bioinformatics
Volume	32
Issue number	23
DOIs	https://doi.org/10.1093/bioinformatics/btw514
Publication status	Published - 1 Dec 2016

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title = "PRODIGY: a web server for predicting the binding affinity of protein-protein complexes",

abstract = "Gaining insights into the structural determinants of protein-protein interactions holds the key for a deeper understanding of biological functions, diseases and development of therapeutics. An important aspect of this is the ability to accurately predict the binding strength for a given protein-protein complex. Here we present PROtein binDIng enerGY prediction (PRODIGY), a web server to predict the binding affinity of protein-protein complexes from their 3D structure. The PRODIGY server implements our simple but highly effective predictive model based on intermolecular contacts and properties derived from non-interface surface.AVAILABILITY AND IMPLEMENTATION: PRODIGY is freely available at: http://milou.science.uu.nl/services/PRODIGY CONTACT: [email protected], [email protected].",

author = "Li Xue and {Garcia Lopes Maia Rodrigues}, Jo{\~a}o and Kastritis, {Panagiotis L} and Bonvin, {Alexandre Mjj} and Anna Vangone",

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doi = "10.1093/bioinformatics/btw514",

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AU - Kastritis, Panagiotis L

AU - Bonvin, Alexandre Mjj

AU - Vangone, Anna

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AB - Gaining insights into the structural determinants of protein-protein interactions holds the key for a deeper understanding of biological functions, diseases and development of therapeutics. An important aspect of this is the ability to accurately predict the binding strength for a given protein-protein complex. Here we present PROtein binDIng enerGY prediction (PRODIGY), a web server to predict the binding affinity of protein-protein complexes from their 3D structure. The PRODIGY server implements our simple but highly effective predictive model based on intermolecular contacts and properties derived from non-interface surface.AVAILABILITY AND IMPLEMENTATION: PRODIGY is freely available at: http://milou.science.uu.nl/services/PRODIGY CONTACT: [email protected], [email protected].

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JO - Bioinformatics

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PRODIGY: a web server for predicting the binding affinity of protein-protein complexes

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