Using artificial neural networks to predict biological activity from simple molecular structural considerations

Quantitative Structure-Activity Relationships

Volumn 15, Issue 1, 1996, Pages 7-11

  Burden, Frank R ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Artificial neural networks (ANN); Dihydrofolate reductase inhibitors; Hydrophobicity; Molar refractivity; Prediction of biological activity

Indexed keywords

FORECASTING; HYDROPHOBICITY; MEAN SQUARE ERROR; MOLECULES; NEURAL NETWORKS; REFRACTION; SYNTHESIS (CHEMICAL);

ARTIFICIAL NEURAL NETWORK; DIHYDROFOLATE REDUCTASE; DIHYDROFOLATE REDUCTASE INHIBITOR; INDEPENDENT VARIABLES; MOLAR REFRACTIVITY; MOLECULAR STRUCTURAL; PREDICTION OF BIOLOGICAL ACTIVITY; REDUCTASE INHIBITORS; ROOT MEAN SQUARED ERRORS; SIMPLE++;

BIOACTIVITY;

DIHYDROFOLATE REDUCTASE INHIBITOR;

ARTICLE; ARTIFICIAL NEURAL NETWORK; HYDROPHOBICITY; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

EID: 0030026012     PISSN: 09318771     EISSN: None     Source Type: Journal    
DOI: 10.1002/qsar.19960150103     Document Type: Article

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