Use of artificial neural network for a QSAR study on neurotrophic activities of N-p-tolyl/phenylsulfonyl L-amino acid thiolester derivatives

Procedia Engineering

Volumn 15, Issue , 2011, Pages 5158-5163

  Luo, Jin ^a   Hu, Jiwei ^a   Fu, Liya ^a   Liu, Chun ^a   Jin, Xiaofei ^a  

^a GUIZHOU NORMAL UNIVERSITY   (China)

Author keywords

Artificial neural network; Molecular parameters; Neurotrophic activity; QSAR

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FEED-FORWARD; HEAT OF FORMATION; HIGHEST OCCUPIED MOLECULAR ORBITAL; L-AMINO ACIDS; LOWEST UNOCCUPIED MOLECULAR ORBITAL; MOLECULAR PARAMETERS; NEUROTROPHIC ACTIVITIES; PHEOCHROMOCYTOMA; PROTECTIVE EFFECTS; QSAR; QSAR STUDIES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; QUANTUM MECHANICAL METHOD; SEMI-EMPIRICAL; TARGET COMPOUND; TOTAL ENERGY;

AMINO ACIDS; ANOXIC SEDIMENTS; BACKPROPAGATION; COMPUTATIONAL CHEMISTRY; DYES; INFORMATION SCIENCE; MOLECULAR ORBITALS; PROFESSIONAL ASPECTS; QUANTUM THEORY; RAT CONTROL; THERMOCHEMISTRY;

NEURAL NETWORKS;

EID: 84055213046     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2011.08.957     Document Type: Conference Paper

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