QSAR modeling of anti-invasive activity of organic compounds using structural descriptors

Bioorganic and Medicinal Chemistry

Volumn 14, Issue 20, 2006, Pages 6933-6939

  Katritzky, Alan R ^a   Kuanar, Minati ^a   Dobchev, Dimitar A ^a,b   Vanhoecke, Barbara W A ^c   Karelson, Mati ^b   Parmar, Virinder S ^d   Stevens, Christian V ^e   Bracke, Marc E ^c  

^a University of Florida ^*  (United States)

^b UNIVERSITY OF TARTU   (Estonia)

^c GHENT UNIVERSITY HOSPITAL   (Belgium)

^d UNIVERSITY OF DELHI   (India)

^e GHENT UNIVERSITY   (Belgium)

Author keywords

Anti invasive activity; Artificial neural network; Molecular descriptors; Polyphenols; QSAR

Indexed keywords

ANTINEOPLASTIC AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION ANALYSIS; LINEAR REGRESSION ANALYSIS; MOLECULAR DYNAMICS; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; VALIDATION PROCESS;

ALGORITHMS; ANTINEOPLASTIC AGENTS; ARTIFICIAL INTELLIGENCE; DRUG DESIGN; LINEAR MODELS; NEOPLASM INVASIVENESS; NEOPLASMS; NEURAL NETWORKS (COMPUTER); ORGANIC CHEMICALS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 33748107178     PISSN: 09680896     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bmc.2006.06.036     Document Type: Article

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