SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data | Zendy

Hagit Shatkay | Zendy; Annette Höglund | Zendy; Scott T. Brady | Zendy; Torsten Blum | Zendy; Pierre Dönnes | Zendy; Oliver Kohlbacher | Zendy

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SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data

Author(s) -

Hagit Shatkay,

Annette Höglund,

Scott T. Brady,

Torsten Blum,

Pierre Dönnes,

Oliver Kohlbacher

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm115

Subject(s) - computer science , sequence (biology) , protein sequencing , artificial intelligence , computational biology , protein subcellular localization prediction , data mining , pattern recognition (psychology) , peptide sequence , biology , genetics , gene

Knowing the localization of a protein within the cell helps elucidate its role in biological processes, its function and its potential as a drug target. Thus, subcellular localization prediction is an active research area. Numerous localization prediction systems are described in the literature; some focus on specific localizations or organisms, while others attempt to cover a wide range of localizations.

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