Comparison between neural networks (NN) and principal component analysis (PCA): Structure activity relationships of 1,4-dihydropyridine calcium channel antagonists (nifedipine analogues)

Journal of Chemical Information and Computer Sciences

Volumn 43, Issue 2, 2003, Pages 540-544

  Takahata, Yuji ^a   Costa, Maria Cristina Andreazza ^a   Gaudio, Anderson Coser ^b  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE; DERIVATIVES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

STRUCTURE-ACTIVITY RELATIONSHIP (SAR);

NITROGEN COMPOUNDS;

1,4 DIHYDROPYRIDINE; 1,4-DIHYDROPYRIDINE; CALCIUM CHANNEL BLOCKING AGENT; DIHYDROPYRIDINE DERIVATIVE; DRUG DERIVATIVE; NIFEDIPINE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; COMPARATIVE STUDY; FACTUAL DATABASE; FORECASTING; IC 50; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; STRUCTURE ACTIVITY RELATION;

ALGORITHMS; CALCIUM CHANNEL BLOCKERS; DATABASES, FACTUAL; DIHYDROPYRIDINES; FORECASTING; INHIBITORY CONCENTRATION 50; NEURAL NETWORKS (COMPUTER); NIFEDIPINE; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 0037363706     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci010117m     Document Type: Conference Paper

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