Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates

Bioinformatics

Volumn 27, Issue 15, 2011, Pages 2076-2082

  Yang, Yuedong ^a,b   Faraggi, Eshel ^a,b   Zhao, Huiying ^a,b   Zhou, Yaoqi ^a,b  

^a INDIANA UNIVERSITY   (United States)

^b INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

ALGORITHM; ARTICLE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; METHODOLOGY; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; MODELS, MOLECULAR; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN;

EID: 79960394811     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr350     Document Type: Article

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