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:English
Published: Nature Portfolio 2017-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-08321-2

Internet

https://doi.org/10.1038/s41598-017-08321-2

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