Comparative QSAR modeling of antitumor activity of ARC-111 analogues using stepwise MLR, PLS, and ANN techniques

Medicinal Chemistry Research

Volumn 19, Issue 9, 2010, Pages 1233-1244

  Yu, Yanjun ^a,b   Su, Rongxin ^a   Wang, Libing ^c   Qi, Wei ^a   He, Zhimin ^a  

^a TIANJIN UNIVERSITY   (China)

^b Tianjin Entry Exit Inspection and Quarantine Bureau   (China)

^c Hunan Entry Exit Inspection and Quarantine Bureau   (China)

Author keywords

Antitumor activity; Artificial neural network; Partial least squares; Prediction; Quantitative structure activity relationship

Indexed keywords

ANTINEOPLASTIC AGENT; ARC 111; DNA TOPOISOMERASE; DNA TOPOISOMERASE INHIBITOR; UNCLASSIFIED DRUG;

ANTINEOPLASTIC ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER INHIBITION; CELL GROWTH; CLUSTER ANALYSIS; CONTROLLED STUDY; CYTOTOXICITY; DRUG TARGETING; HUMAN; HUMAN CELL; IC 50; MULTIPLE LINEAR REGRESSION ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTIVE VALIDITY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; THERMODYNAMICS;

EID: 78650170085     PISSN: 10542523     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00044-009-9266-9     Document Type: Article

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