Quantitative structure activity relationship (QSAR) approach to multiple drug resistance (MDR) modulators based on combined hybrid system

QSAR and Combinatorial Science

Volumn 28, Issue 9, 2009, Pages 969-978

  Wu, Jianhua ^a   Li, Xin ^b   Cheng, Weidong ^a   Xie, Qinjian ^a   Liu, Yinqian ^a   Zhao, Chunyan ^a  

^a LANZHOU UNIVERSITY   (China)

^b HENAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Drug design; Hybrid system, Medicinal chemistry; P glycoprotein (PGP); Quantitative structure activity relationship (QSAR)

Indexed keywords

COMPUTATIONAL CHEMISTRY; FORECASTING; LINEAR REGRESSION; MOLECULAR GRAPHICS; STATISTICAL TESTS; SUPPORT VECTOR MACHINES;

DRUG DESIGN; HYBRID MODEL; HYBRID SYSTEM, MEDICINAL CHEMISTRY; MEDICINAL CHEMISTRY; MULTIPLE DRUG RESISTANCE; P-GLYCOPROTEIN; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING;

HYBRID SYSTEMS;

AGENTS INTERACTING WITH TRANSMITTER, HORMONE OR DRUG RECEPTORS; MULTIDRUG RESISTANCE PROTEIN;

ALGORITHM; ARTICLE; COMPUTER MODEL; CONTROLLED STUDY; CORRELATION COEFFICIENT; DRUG ACTIVITY; ELECTROPHORESIS; GENE IDENTIFICATION; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MULTIDRUG RESISTANCE; MULTIPLE LINEAR REGRESSION ANALYSIS; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; PROTEIN STRUCTURE; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

EID: 70449431505     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200860134     Document Type: Article

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