SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.
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ABSTRACT:
SUBMITTER: Moreira IS
PROVIDER: S-EPMC5556074 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature
Publications
SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.
Moreira Irina S IS Koukos Panagiotis I PI Melo Rita R Almeida Jose G JG Preto Antonio J AJ Schaarschmidt Joerg J Trellet Mikael M Gümüş Zeynep H ZH Costa Joaquim J Bonvin Alexandre M J J AMJJ
Scientific reports 20170814 1
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 machine learning approach with up-sampling of the minor class. It was trained on 53 complexes using various features, based on both protein 3D structure and sequence. The SpotOn web interface is freely available ...[more]
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