Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks

Chemical Biology and Drug Design

Volumn 70, Issue 5, 2007, Pages 424-436

  Nandi, Sisir ^a   Vracko, Marjan ^b   Bagchi, Manish C ^a  

^a INDIAN INSTITUTE OF CHEMICAL BIOLOGY   (India)

^b NATIONAL INSTITUTE OF CHEMISTRY   (Slovenia)

Author keywords

Apoptosis; Artificial neural networks; Cancer cell lines; Phenol; Quantitative structure activity relationship; Ridge regression; Theoretical structural descriptors

Indexed keywords

CASPASE; OCTANOL; PHENOL DERIVATIVE; VINBLASTINE;

ANIMAL CELL; ANTINEOPLASTIC ACTIVITY; APOPTOSIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CANCER CELL CULTURE; CARCINOGENIC ACTIVITY; CELL CULTURE; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; CORRELATION ANALYSIS; CYTOTOXICITY; DATA ANALYSIS; DRUG MECHANISM; HUMAN; HUMAN CELL; HYDROPHOBICITY; LYMPHOBLASTOID CELL; MOUSE; MULTIDRUG RESISTANCE; NONHUMAN; PHYSICAL CHEMISTRY; PREDICTOR VARIABLE; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS;

ANTINEOPLASTIC AGENTS; MODELS, MOLECULAR; MOLECULAR CONFORMATION; NEURAL NETWORKS (COMPUTER); PHENOLS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REGRESSION ANALYSIS;

MURINAE;

EID: 35348967842     PISSN: 17470277     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1747-0285.2007.00575.x     Document Type: Article

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