A set of descriptors for identifying the protein-drug interaction in cellular networking

Journal of Theoretical Biology

Volumn 359, Issue , 2014, Pages 120-128

  Nanni, Loris ^a   Lumini, Alessandra ^b   Brahnam, Sheryl ^c  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF BOLOGNA   (Italy)

^c MISSOURI STATE UNIVERSITY   (United States)

Author keywords

Amino acid sequence; Drug target interaction; Ensemble of classifiers; Machine learning; Position specific scoring matrix

Indexed keywords

AMINO ACID; ARTIFICIAL INTELLIGENCE; DRUG; MATRIX; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; CALCULATION; CONTROLLED STUDY; DRUG PROTEIN BINDING; MACHINE LEARNING; MATHEMATICAL COMPUTING; PHYSICAL CHEMISTRY; POSITION WEIGHT MATRIX; PREDICTION; PRIORITY JOURNAL; PROTEIN DETERMINATION; SUPPORT VECTOR MACHINE; BIOLOGY; CHEMISTRY; DRUG INTERACTION; HUMAN; METABOLISM; MOLECULAR DOCKING; MOLECULARLY TARGETED THERAPY; PROTEIN CONFORMATION; STRUCTURE ACTIVITY RELATION;

DRUG; PROTEIN; PROTEIN BINDING;

COMPUTATIONAL BIOLOGY; DRUG INTERACTIONS; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MOLECULAR DOCKING SIMULATION; MOLECULAR TARGETED THERAPY; PHARMACEUTICAL PREPARATIONS; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEINS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84903520297     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2014.06.008     Document Type: Article

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