Artificial neural networks as versatile tools for prediction of MDR-modulatory activity

Advances in Experimental Medicine and Biology

Volumn 457, Issue , 1999, Pages 95-105

  Tmej, C ^a   Chiba, P ^a   Schaper, K J ^b   Ecker, G ^a   Fleischhacker, W ^a  

^a UNIVERSITY OF VIENNA   (Austria)

^b RESEARCH CENTER BORSTEL   (Germany)

Author keywords

Artificial neural networks; Free Wilson analysis; Modulators of Multidrug resistance; Propafenone; Structure activity relationship

Indexed keywords

ABC TRANSPORTER; ANTINEOPLASTIC AGENT; DAUNORUBICIN; GLYCOPROTEIN P; MULTIDRUG RESISTANCE PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL CULTURE; CELL MEMBRANE; CHEMISTRY; COMPARATIVE STUDY; DRUG DESIGN; GENE; GENETICS; HUMAN; METABOLISM; MULTIDRUG RESISTANCE; PREDICTION AND FORECASTING; REGRESSION ANALYSIS; REPRODUCIBILITY; STRUCTURE ACTIVITY RELATION;

ANTINEOPLASTIC AGENTS; ATP-BINDING CASSETTE TRANSPORTERS; CELL MEMBRANE; DAUNORUBICIN; DRUG DESIGN; DRUG RESISTANCE, MULTIPLE; GENES, MDR; HUMANS; MULTIDRUG RESISTANCE-ASSOCIATED PROTEINS; NEURAL NETWORKS (COMPUTER); P-GLYCOPROTEIN; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; STRUCTURE-ACTIVITY RELATIONSHIP; TUMOR CELLS, CULTURED;

EID: 0032610933     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4615-4811-9_12     Document Type: Article

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