Application of neural networks: quantitative structure-activity relationships of the derivatives of 2,4-diamino-5-(substituted-benzyl)pyrimidines as DHFR inhibitors

Application of neural networks: quantitative structure-activity relationships of the derivatives of 2,4-diamino-5-(substituted-benzyl)pyrimidines as DHFR inhibitors Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysis QSAR study of neuraminidase inhibitors based on heuristic method and radial basis function network Adaptive Neuro-Fuzzy Inference System:  An Instant and Architecture-Free Predictor for Improved QSAR Studies Comparison of the inhibition of Escherichia coli and Lactobacillus casei dihydrofolate reductase by 2,4-diamino-5-(substituted-benzyl)pyrimidines: quantitative structure-activity relationships, x-ray crystallography, and computer graphics in structure-activity analysis Genetic Neural Networks for Quantitative Structure−Activity Relationships:  Improvements and Application of Benzodiazepine Affinity for Benzodiazepine/GABA_A Receptors Artificial Neural Network Applied to Prediction of Fluorquinolone Antibacterial Activity by Topological Methods Inhibition of dihydrofolate reductase: structure-activity correlations of 2,4-diamino-5-benzylpyrimidines based upon molecular shape analysis Quantitative structure-activity relationship of 5-(X-benzyl)-2,4-diaminopyrimidines inhibiting bovine liver dihydrofolate reductase