DNABind: A hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning- and template-based approaches

Proteins: Structure, Function and Bioinformatics

Volumn 81, Issue 11, 2013, Pages 1885-1899

  Liu, Rong ^a,b   Hu, Jianjun ^a  

^a The Department of Mechanical Engineering   (United States)

^b HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

Conformational change; DNA binding residue; Machine learning; Protein DNA interaction; Structural analysis; Template

Indexed keywords

SOLVENT;

ALGORITHM; ARTICLE; CONFORMATIONAL TRANSITION; DNA BINDING; DNA PROTEIN COMPLEX; DNA TEMPLATE; GENETIC CONSERVATION; GEOMETRY; HYBRID; LEARNING ALGORITHM; MACHINE LEARNING; PREDICTION; PRIORITY JOURNAL; PROTEIN CONFORMATION; SUPPORT VECTOR MACHINE;

CONFORMATIONAL CHANGE; DNA-BINDING RESIDUE; MACHINE LEARNING; PROTEIN-DNA INTERACTION; STRUCTURAL ANALYSIS; TEMPLATE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DNA; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEINS;

EID: 84885856027     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.24330     Document Type: Article

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