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Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00125375openalex-snapshot
Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines
inferredcites →https://doi.org/10.1007/bf00125376openalex-snapshot
Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines
inferredcites →https://doi.org/10.1016/0014-5793(86)81224-8openalex-snapshot
Crystallographic investigation of the cooperative interaction between trimethoprim, reduced cofactor and dihydrofolate reductase
inferredcites →https://doi.org/10.1016/s0021-9258(18)89743-5openalex-snapshot
Refined crystal structures of Escherichia coli and chicken liver dihydrofolate reductase containing bound trimethoprim.
inferredcites →https://doi.org/10.1016/s0960-894x(01)81067-2openalex-snapshot
Regression analysis for QSAR using neural networks
inferredcites →https://doi.org/10.1021/ar50020a002openalex-snapshot
Quantitative approach to biochemical structure-activity relationships
inferredcites →https://doi.org/10.1021/ci00009a015openalex-snapshot
Neural networks as nonlinear structure-activity relationship analyzers. Useful functions of the partial derivative method in multilayer neural networks
inferredcites →https://doi.org/10.1021/cr60274a001openalex-snapshot
Partition coefficients and their uses
inferredcites →https://doi.org/10.1021/ja00856a042openalex-snapshot
Correlation analysis. Its application to the structure-activity relation of triazines inhibiting dihydrofolate reductase
inferredcites →https://doi.org/10.1021/jm00059a003openalex-snapshot
Applications of neural networks in structure-activity relationships of a small number of molecules
inferredcites →https://doi.org/10.1021/jm00061a023openalex-snapshot
Statistics using neural networks: chance effects
inferredcites →https://doi.org/10.1021/jm00095a016openalex-snapshot
Application of neural networks: quantitative structure-activity relationships of the derivatives of 2,4-diamino-5-(substituted-benzyl)pyrimidines as DHFR inhibitors
inferredcites →https://doi.org/10.1021/jm00105a008openalex-snapshot
Optimization of hydrophobic and hydrophilic substituent interactions of 2,4-diamino-5-(substituted-benzyl)pyrimidines with dihydrofolate reductase
inferredcites →https://doi.org/10.1021/jm00113a022openalex-snapshot
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
inferredcites →https://doi.org/10.1021/jm00140a005openalex-snapshot
2,4-Diamino-5-benzylpyrimidines and analogs as antibacterial agents. 5. 3',5'-Dimethoxy-4'-substituted-benzyl analogs of trimethoprim
inferredcites →https://doi.org/10.1021/jm00165a004openalex-snapshot
Neural networks applied to structure-activity relationships
inferredcites →https://doi.org/10.1021/jm00185a011openalex-snapshot
Quantitative structure-selectivity relationships. Comparison of the inhibition of Escherichia coli and bovine liver dihydrofolate reductase by 5-(substituted benzyl)-2,4-diaminopyrimidines
inferredcites →https://doi.org/10.1021/jm00223a014openalex-snapshot
Correlation analysis of Baker's studies on enzyme inhibition. 1. Guanine deaminase, xanthine oxidase, dihydrofolate reductase, and complement
inferredcites →https://doi.org/10.1021/jm00253a001openalex-snapshot
Quantitative structure-activity relation of reversible dihydrofolate reductase inhibitors. Diaminotriazines
inferredcites →https://doi.org/10.1021/jm00346a020openalex-snapshot
A comparison of the inhibitory action of 5-(substituted-benzyl)-2,4-diaminopyrimidines on dihydrofolate reductase from chicken liver with that from bovine liver
inferredcites →https://doi.org/10.1021/jm00349a003openalex-snapshot
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
inferredcites →https://doi.org/10.1021/jm00385a017openalex-snapshot
2,4-Diamino-5-benzylpyrimidines as antibacterial agents. 7. Analysis of the effect of 3,5-dialkyl substituent size and shape on binding to four different dihydrofolate reductase enzymes
inferredcites →https://doi.org/10.1021/jm00397a017openalex-snapshot
Quantitative structure-activity relationships for the inhibition of Escherichia coli dihydrofolate reductase by 5-(substituted benzyl)-2,4-diaminopyrimidines
inferredcites →https://doi.org/10.1038/194178b0openalex-snapshot
Correlation of Biological Activity of Phenoxyacetic Acids with Hammett Substituent Constants and Partition Coefficients
inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot
Learning representations by back-propagating errors
inferredcites →https://doi.org/10.1073/pnas.89.23.11322openalex-snapshot
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
inferredcites →https://doi.org/10.1093/biomet/74.2.432openalex-snapshot
Ranking from Unbalanced Paired-Comparison Data
inferredcites →https://doi.org/10.1109/ijcnn.1989.118726openalex-snapshot
Efficient training of the backpropagation network by solving a system of stiff ordinary differential equations
inferredcites →https://doi.org/10.2307/2005674openalex-snapshot
Numerical Initial Value Problems in Ordinary Differential Equations
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