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Genetic Algorithm Applied to the Selection of Factors in Principal Component-Artificial Neural Networks: Application to QSAR Study of Calcium Channel Antagonist Activity of 1,4-Dihydropyridines (Nifedipine Analogous)
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Handbook of Molecular Descriptors
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Synthesis and Calcium Channel Modulating Effects of Isopropyl 1,4‐Dihydro‐2,6‐dimethyl‐3‐nitro‐4‐(thienyl)‐5‐pyridinecarboxylates
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Which principal components to utilize for principal component regression
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A correlation principal component regression analysis of NIR data
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Synthesis and calcium channel modulating effects of modified Hantzsch nitrooxyalkyl 1,4‐dihydro‐2,6‐dimethyl‐3‐nitro‐4‐(pyridinyl or 2‐trifluoromethylphenyl)‐5‐pyridinecarboxylates
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Molecular Connectivity in Structure–activity Analysis
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Quantitative Structure-Activity Relationships for 1,4-Dihydropyridine Calcium Channel Antagonists (Nifedipine Analogues): A Quantum ChemicalKlassical Approach
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Genetic algorithms in wavelength selection: a comparative study
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Genetic algorithms applied to the selection of factors in principal component regression
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Prediction of drug transfer into human milk from theoretically derived descriptors
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Evaluation of principal component selection methods to form a global prediction model by principal component regression
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Synthesis and calcium channel antagonist activities of 3-nitrooxyalkyl, 5-alkyl 1,4-dihydro-2,6-dimethyl-4-(1-methyl-5-nitro-2-imidazolyl)-3,5-pyridinedicarboxylates
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Syntheses and calcium channel antagonist activity of nifedipine analogues with methylsulfonylimidazolyl substituent
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A comparative study of principal component and linear multiple regression analysis in SAR and QSAR applied to 1,4-dihydropyridine calcium channel antagonists (nifedipine analogues)
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A new 3D molecular structure representation using quantum topology with application to structure–property relationships
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QSAR study of the calcium channel antagonist activity of some recently synthesized dihydropyridine derivatives. An application of genetic algorithm for variable selection in MLR and PLS methods
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Nonlinear multivariate calibration using principal components regression and artificial neural networks
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Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration
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Determination of the number of factors and the experimental error in a data matrix
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Comparison of a Neural Net-Based QSAR Algorithm (PCANN) with Hologram- and Multiple Linear Regression-Based QSAR Approaches: Application to 1,4-Dihydropyridine-Based Calcium Channel Antagonists
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Counts of all walks as atomic and molecular descriptors
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Charge Indexes. New Topological Descriptors
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Quantitative Structure-Activity Relationships in Carboquinones and Benzodiazepines Using Counter-Propagation Neural Networks
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Exploring Functional Group Transformations on CASREACT
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Analysis of linear and nonlinear QSAR data using neural networks
inferredcites →https://doi.org/10.1021/jm00112a030openalex-snapshot
Active conformation of 1,4-dihydropyridine calcium entry blockers. Effect of size of 2-aryl substituent on rotameric equilibria and receptor binding
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1,4-Dihydropyridine antagonist activities at the calcium channel: a quantitative structure-activity relationship approach
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Crystal structure of the dihydropyridine calcium antagonist felodipine. Dihydropyridine binding prerequisites assessed from crystallographic data
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Physicochemical-activity relations in practice. 1. Rational and self-consistent data bank
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Inhibition of Thyroid Hormone Uptake by Calcium Antagonists of the Dihydropyridine Class
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Learning representations by back-propagating errors
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QSAR of binding of dihydropyridine-type calcium antagonists to their receptor on ileal smooth muscle preparations
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