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Relating chemical activity to structure: An examination of ILP successes
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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/bf00125376openalex-snapshot
Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines
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Comprehensive medicinal chemistry
inferredcites →https://doi.org/10.1021/jm00106a046openalex-snapshot
Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. Correlation with molecular orbital energies and hydrophobicity
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/10.1073/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/10.1109/hicss.1993.270676openalex-snapshot
Drug design using inductive logic programming
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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