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

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Moreira, IS (Author) Other; Koukos, PI (Author) Other; Melo, R (Author) Other; Almeida, JG (Author) Other; Preto, AJ (Author) Other; Schaarschmidt, J (Author) Other; Trellet, M (Author) Other; Gumus, ZH (Author) Other; Da Costa, JP (Author) FCUP; Bonvin, AMJJ (Author) Other

Journal

Title: Scientific Reports

Vol. 7

ISSN: 2045-2322

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 13 Citations

Scopus - 73 Citations

Other information

Authenticus ID: P-00R-AKY

DOI: 10.1038/s41598-017-08321-2

Abstract (EN): 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 at: http://milou.science.uu.nl/services/SPOTON/.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11