Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network

Journal of Computer-Aided Molecular Design

Volumn 19, Issue 7, 2005, Pages 509-524

  Nantasenamat, Chanin ^a   Naenna, Thanakorn ^a   Isarankura Na Ayudhya, Chartchalerm ^a   Prachayasittikul, Virapong ^a  

^a MAHIDOL UNIVERSITY   (Thailand)

Author keywords

Artificial neural network; Back propagation; Data mining; Molecular imprinting; Molecularly imprinted polymer

Indexed keywords

BINDING SITES; DATA MINING; MONOMERS;

BACK PROPAGATION; BACK-PROPAGATION ALGORITHM; FUNCTIONAL MONOMER; IMPRINTED POLYMERS; IMPRINTING FACTOR; MOLECULAR DESCRIPTORS; MOLECULAR IMPRINTING; MOLECULARLY IMPRINTED POLYMER; MONOMER MOLECULES; QUANTITATIVE PREDICTION;

NEURAL NETWORKS;

4,4' ISOPROPYLIDENEDIPHENOL; ALLOXAN; CHLORAMPHENICOL; CHLORPHENIRAMINE; CINCHONIDINE; CINCHONINE; CLENBUTEROL; CYCLOBARBITAL; ESTRADIOL; GENTISIC ACID; HEXOBARBITAL; HISTAMINE; HYDROCORTISONE; IBUPROFEN; INDOLEACETIC ACID; ISONICOTINAMIDE; MATRINE; NAPROXEN; NICOTINE; NILVADIPINE; OXYMATRINE; PICOLINAMIDE; PIRITREXIM; POLYMER; PROPRANOLOL; QUERCETIN; SULFADIMIDINE; SULFAMETHOXAZOLE; TRIMETHOPRIM; UNINDEXED DRUG;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING SITE; CALCULATION; MOLECULAR IMPRINTING; MORPHOLOGY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

EID: 31444441573     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-005-9004-4     Document Type: Article

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