ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model | Zendy

Castrense Savojardo | Zendy; Piero Fariselli | Zendy; Pier Luigi Martelli | Zendy; Rita Casadio | Zendy

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ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model

Author(s) -

Castrense Savojardo,

Piero Fariselli,

Pier Luigi Martelli,

Rita Casadio

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx044

Subject(s) - computer science , matthews correlation coefficient , benchmarking , artificial intelligence , protein structure prediction , machine learning , sequence (biology) , data mining , protein structure , chemistry , support vector machine , biochemistry , marketing , business

The identification of protein-protein interaction (PPI) sites is an important step towards the characterization of protein functional integration in the cell complexity. Experimental methods are costly and time-consuming and computational tools for predicting PPI sites can fill the gaps of PPI present knowledge.

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