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Predictions of BuChE Inhibitors Using Support Vector Machine and Naive Bayesian Classification Techniques in Drug Discovery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Effects of P-Glycoprotein on the Transport of DL0410, a Potential Multifunctional Anti-Alzheimer Agent
inferred← citeshttps://doi.org/10.3390/molecules22081254openalex-snapshot
Evaluation of Novel Dual Acetyl- and Butyrylcholinesterase Inhibitors as Potential Anti-Alzheimer’s Disease Agents Using Pharmacophore, 3D-QSAR, and Molecular Docking Approaches
inferred← citeshttps://doi.org/10.3390/molecules30071491openalex-snapshot
Virtual Screening and Bioassay of Novel Protoporphyrinogen Oxidase and p-Hydroxyphenylpyruvate Dioxygenase Dual-Target Inhibitors
inferred← citeshttps://doi.org/10.3390/molecules30102093openalex-snapshot
Discovery, Biological Evaluation and Binding Mode Investigation of Novel Butyrylcholinesterase Inhibitors Through Hybrid Virtual Screening
inferred← citeshttps://doi.org/10.3892/mmr.2019.10306openalex-snapshot
Pharmacokinetics, excretion and metabolites analysis of DL0410, a dual‑acting cholinesterase inhibitor and histamine‑3 receptor antagonist
inferred← citeshttps://doi.org/10.4274/balkanmedj.galenos.2024.2024-1-73openalex-snapshot
Binding Activity Classification of Anti-SARS-CoV-2 Molecules using Deep Learning across Multiple Assays
inferred← citeshttps://doi.org/10.5336/biostatic.2022-88704openalex-snapshot
Activity Classification of Small Drug Molecules Using Deep Neural Networks and Classical Machine Learning Models
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