An automatic method for CASP9 free modeling structure prediction assessment | Zendy

Qian Cong | Zendy; Lisa N. Kinch | Zendy; Jimin Pei | Zendy; Shuoyong Shi | Zendy; Vyacheslav N. Grishin | Zendy; Wenlin Li | Zendy; Nick V. Grishin | Zendy

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An automatic method for CASP9 free modeling structure prediction assessment

Author(s) -

Qian Cong,

Lisa N. Kinch,

Jimin Pei,

Shuoyong Shi,

Vyacheslav N. Grishin,

Wenlin Li,

Nick V. Grishin

Publication year - 2011

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/btr572

Subject(s) - casp , computer science , superimposition , quality (philosophy) , data mining , machine learning , artificial intelligence , protein structure prediction , philosophy , physics , epistemology , nuclear magnetic resonance , protein structure

Manual inspection has been applied to and is well accepted for assessing critical assessment of protein structure prediction (CASP) free modeling (FM) category predictions over the years. Such manual assessment requires expertise and significant time investment, yet has the problems of being subjective and unable to differentiate models of similar quality. It is beneficial to incorporate the ideas behind manual inspection to an automatic score system, which could provide objective and reproducible assessment of structure models.

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