Application of an expert system based on Genetic Algorithm-Adaptive Neuro-Fuzzy Inference System (GA-ANFIS) in QSAR of cathepsin K inhibitors

Expert Systems with Applications

Volumn 39, Issue 6, 2012, Pages 6182-6191

  Shahlaei, Mohsen ^a,b   Madadkar Sobhani, Armin ^c   Saghaie, Lotfollah ^b,d   Fassihi, Afshin ^b,d  

^a KERMANSHAH UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c BARCELONA SUPERCOMPUTING CENTER   (Spain)

^d Isfahan Pharmaceutical Sciences Research Center   (Iran)

Author keywords

Adaptive Neuro Fuzzy Inference System; Cathepsin K inhibitory activity; Genetic Algorithm; QSAR

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CATHEPSIN K INHIBITORY ACTIVITY; CHEMOMETRICS; DESCRIPTORS; DRUG DESIGN; INHIBITORY ACTIVITY; LEAVE-ONE-OUT; NEURO-FUZZY; NEURO-FUZZY INFERENCE SYSTEMS; NONLINEAR REGRESSION TECHNIQUE; PHYSICOCHEMICAL FEATURES; QSAR; QSAR MODEL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; TEST SETS;

ADAPTIVE ALGORITHMS; COMPUTATIONAL CHEMISTRY; FUZZY INFERENCE; FUZZY SYSTEMS; INFERENCE ENGINES; MOLECULAR GRAPHICS; SCAFFOLDS;

GENETIC ALGORITHMS;

EID: 84856559530     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.106     Document Type: Article

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