In silico prediction of mitochondrial toxicity by using GA-CG-SVM approach

Toxicology in Vitro

Volumn 23, Issue 1, 2009, Pages 134-140

  Zhang, Hui ^a,b   Chen, Qing Yi ^b   Xiang, Ming Li ^a,b   Ma, Chang Ying ^a   Huang, Qi ^a   Yang, Sheng Yong ^a  

^a SICHUAN UNIVERSITY   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

Feature selection; In silico prediction; Mitochondrial toxicity; Parameter optimization; Support vector machine

Indexed keywords

BUTACAINE; CIPROFLOXACIN; CLOFIBRIC ACID; CYHALOTHRIN; DECOQUINATE; DIAZEPAM; FLUPHENAZINE; HALOPERIDOL; HEXACHLOROPHENE; INDOMETACIN; LIDOCAINE; LINDANE; LONIDAMINE; MENADIONE; MENOCTONE; METFORMIN; METHIONINE; MYXOTHIAZOL; NALIDIXIC ACID; NICLOFOLAN; PENTAMIDINE; PHENFORMIN; PHENYTOIN; PROCAINE; SALICYLIC ACID; SULOFENUR; TIOXAPROFEN; TOLCAPONE; UNINDEXED DRUG; VALPROIC ACID;

ANALYTIC METHOD; ARTICLE; COMPUTER MODEL; CONJUGATE GRADIENT METHOD; GENETIC ALGORITHM; MATHEMATICAL MODEL; MITOCHONDRIAL TOXICITY; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DRUG EVALUATION, PRECLINICAL; HUMANS; MITOCHONDRIA; MODELS, BIOLOGICAL; MODELS, CHEMICAL; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REPRODUCIBILITY OF RESULTS; SOFTWARE; XENOBIOTICS;

EID: 58149291856     PISSN: 08872333     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tiv.2008.09.017     Document Type: Article

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