Open Access
PRODIGY: a web server for predicting the binding affinity of protein-protein complexes
Publication type: Journal Article
Publication date: 2016-08-08
scimago Q1
wos Q1
SJR: 2.451
CiteScore: 9.6
Impact factor: 5.4
ISSN: 13674803, 13674811, 14602059
PubMed ID:
27503228
Biochemistry
Computer Science Applications
Molecular Biology
Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
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: a.m.j.j.bonvin@uu.nl, a.vangone@uu.nl.
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Metrics
899
Total citations:
899
Citations from 2024:
415
(46.32%)
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MLA
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GOST
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Xue L. C. et al. PRODIGY: a web server for predicting the binding affinity of protein-protein complexes // Bioinformatics. 2016. Vol. 32. No. 23. p. btw514.
GOST all authors (up to 50)
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Xue L. C., Rodrigues J. P. G. L. M., Phapale P., Bonvin A. M. J. J., Vangone A. PRODIGY: a web server for predicting the binding affinity of protein-protein complexes // Bioinformatics. 2016. Vol. 32. No. 23. p. btw514.
Cite this
RIS
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TY - JOUR
DO - 10.1093/bioinformatics/btw514
UR - https://doi.org/10.1093/bioinformatics/btw514
TI - PRODIGY: a web server for predicting the binding affinity of protein-protein complexes
T2 - Bioinformatics
AU - Xue, Li C
AU - Rodrigues, João P. G. L. M.
AU - Phapale, Prasad
AU - Bonvin, Alexandre M. J. J.
AU - Vangone, Anna
PY - 2016
DA - 2016/08/08
PB - Oxford University Press
SP - btw514
IS - 23
VL - 32
PMID - 27503228
SN - 1367-4803
SN - 1367-4811
SN - 1460-2059
ER -
Cite this
BibTex (up to 50 authors)
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@article{2016_Xue,
author = {Li C Xue and João P. G. L. M. Rodrigues and Prasad Phapale and Alexandre M. J. J. Bonvin and Anna Vangone},
title = {PRODIGY: a web server for predicting the binding affinity of protein-protein complexes},
journal = {Bioinformatics},
year = {2016},
volume = {32},
publisher = {Oxford University Press},
month = {aug},
url = {https://doi.org/10.1093/bioinformatics/btw514},
number = {23},
pages = {btw514},
doi = {10.1093/bioinformatics/btw514}
}
Cite this
MLA
Copy
Xue, Li C., et al. “PRODIGY: a web server for predicting the binding affinity of protein-protein complexes.” Bioinformatics, vol. 32, no. 23, Aug. 2016, p. btw514. https://doi.org/10.1093/bioinformatics/btw514.