SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots

SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots

Abstract We present SpotOn, a web server to identify and classify interfacial residues as Hot-Spots (HS) and Null-Spots (NS). SpotON implements a robust algorithm with a demonstrated accuracy of 0.95 and sensitivity of 0.98 on an independent test set. The predictor was developed using an ensemble ma...

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Bibliographic Details
Main Authors: Irina S. Moreira, Panagiotis I. Koukos, Rita Melo, Jose G. Almeida, Antonio J. Preto, Joerg Schaarschmidt, Mikael Trellet, Zeynep H. Gümüş, Joaquim Costa, Alexandre M. J. J. Bonvin
Format: article
Language:EN
Published: Nature Portfolio 2017
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/bcfd8d40f8554bfebb790c4ceb05f28f
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https://doaj.org/article/bcfd8d40f8554bfebb790c4ceb05f28f

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