A holistic in silico approach to predict functional sites in protein structures | Zendy

Joan Segura | Zendy; Pamela F. Jones | Zendy; Narcís FernándezFuentes | Zendy

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A holistic in silico approach to predict functional sites in protein structures

Author(s) -

Joan Segura,

Pamela F. Jones,

Narcís FernándezFuentes

Publication year - 2012

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/bts269

Subject(s) - in silico , computer science , computational biology , probabilistic logic , protein–protein interaction , identification (biology) , data mining , machine learning , artificial intelligence , biology , genetics , botany , gene

Proteins execute and coordinate cellular functions by interacting with other biomolecules. Among these interactions, protein-protein (including peptide-mediated), protein-DNA and protein-RNA interactions cover a wide range of critical processes and cellular functions. The functional characterization of proteins requires the description and mapping of functional biomolecular interactions and the identification and characterization of functional sites is an important step towards this end.

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