Recognition of drug-target interaction patterns using genetic algorithm-optimized Bayesian-regularized neural networks and support vector machines

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 498-503

  Fernandez, Michael ^a   Sarai, Akinori ^a   Ahmad, Shandar ^b  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b NATIONAL INSTITUTE OF BIOMEDICAL INNOVATION   (Japan)

Author keywords

Enzyme inhibition; Feature selection; In silico drug design; Kernel based methods; Structure activity relationship

Indexed keywords

FEATURE SELECTION; IN-SILICO DRUG DESIGN; KERNEL BASED METHODS; STRUCTURE ACTIVITY RELATIONSHIPS; STRUCTURE-ACTIVITY RELATIONSHIP;

BAYESIAN NETWORKS; CYBERNETICS; DRUG INTERACTIONS; ENZYME ACTIVITY; ENZYMES; GENETIC ALGORITHMS; MACHINE DESIGN; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; SUPPORT VECTOR MACHINES;

ENZYME INHIBITION;

EID: 74849090431     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346852     Document Type: Conference Paper

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