QSAR modeling of 1-(3,3-diphenylpropyl)-piperidinyl amides as CCR5 modulators using multivariate adaptive regression spline and Bayesian regularized genetic neural networks

QSAR and Combinatorial Science

Volumn 28, Issue 9, 2009, Pages 946-958

  Jalali Heravi, Mehdi ^a   Mani Varnosfaderani, Ahmad ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Bayesian regularized neural network (BRANN); Bioinformatics; CCR5; Genetic algorithm; Multivariate adaptive regression spline (MARS); Structure activity relationship

Indexed keywords

BAYESIAN NETWORKS; COMPUTATIONAL CHEMISTRY; FORECASTING; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MOLECULAR GRAPHICS; MULTIPLE LINEAR REGRESSION; NEURAL NETWORKS;

BAYESIAN; BAYESIAN REGULARIZED NEURAL NETWORK; CCR5; GENETIC NEURAL NETWORK; INHIBITION ACTIVITY; MULTIVARIATE ADAPTIVE REGRESSION SPLINE; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING; REGULARIZED NEURAL NETWORKS; STRUCTURE-ACTIVITY RELATIONSHIPS;

GENETIC ALGORITHMS;

1 (3,3 DIPHENYLPROPYL) PIPERIDINYL AMIDE; CHEMOKINE RECEPTOR CCR5; RECEPTOR BLOCKING AGENT; UNCLASSIFIED DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; CONTROLLED STUDY; DRUG ACTIVITY; DRUG STRUCTURE; GENETIC ALGORITHM; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MATHEMATICAL MODEL; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

EID: 70449416196     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200860136     Document Type: Article

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