Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015-04-06

Autores

Cristian R. Munteanu (Autor) Outra; António C. Pimenta (Autor) Outra; Carlos Fernandez-Lozano (Autor) Outra; Andre Melo (Autor) FCUP; Natalia N D S Cordeiro (Autor) FCUP; Irina S. Moreira (Autor) Outra

Revista

Título: Journal of Chemical Information and Modeling

Vol. 55

Páginas: 1077-1086

ISSN: 1549-9596

Editora: American Chemical Society

Indexação

ISI Web of Knowledge - 26 Citações

Scopus - 28 Citações

Outras Informações

ID Authenticus: P-00G-5W8

DOI: 10.1021/ci500760m

Abstract (EN): Due to the importance of hot-spots (HS) detection and the efficiency of computational methodologies, several HS detecting approaches have been developed. The current paper presents new models to predict HS for protein-protein and protein-nucleic acid interactions with better statistics compared with the ones currently reported in literature. These models are based on solvent accessible surface area (SASA) and genetic conservation features subjected to simple Bayes networks (protein-protein systems) and a more complex multi-objective genetic algorithm-support vector machine algorithms (protein-nucleic acid systems) The best models for these interactions have been implemented in two free Web tools.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10