Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysis

Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysis 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 Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds Artificial Neural Network Applied to Prediction of Fluorquinolone Antibacterial Activity by Topological Methods Exploring QSAR of antiamoebic agents of isolated natural products by MLR, ANN, and RTO Genetic Neural Networks for Quantitative Structure−Activity Relationships:  Improvements and Application of Benzodiazepine Affinity for Benzodiazepine/GABA_A Receptors Three-Dimensional Quantitative Structure−Activity Relationships from Molecular Similarity Matrices and Genetic Neural Networks. 2. Applications 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