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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

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

Revista

Título: Scientific Reports

Vol. 7

ISSN: 2045-2322

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 13 Citações

Scopus - 73 Citações

Outras Informações

ID Authenticus: 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/.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11