Large-scale assessment of the utility of low-resolution protein structures for biochemical function assignment | Zendy

Adrián K. Arakaki | Zendy; Yang Zhang | Zendy; Jeffrey Skolnick | Zendy

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Large-scale assessment of the utility of low-resolution protein structures for biochemical function assignment

Author(s) -

Adrián K. Arakaki,

Yang Zhang,

Jeffrey Skolnick

Publication year - 2004

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/bth044

Subject(s) - computer science , function (biology) , resolution (logic) , scale (ratio) , computational biology , artificial intelligence , biology , genetics , cartography , geography

Several protein function prediction methods employ structural features captured in three-dimensional (3D) descriptors of biologically relevant sites. These methods are successful when applied to high-resolution structures, but their detection ability in lower resolution predicted structures has only been tested for a few cases.

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