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Potential Drugs and Nondrugs: Prediction and Identification of Important Structural Features

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Analysis of a Large Structure‐Activity Data Set Using Recursive Partitioning
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Enhancing the diversity of a corporate database using chemical database clustering and analysis
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Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
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Atomic physicochemical parameters for three dimensional structure directed quantitative structure-activity relationships. 4. Additional parameters for hydrophobic and dispersive interactions and their application for an automated superposition of certain naturally occurring nucleoside antibiotics
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Review of ring perception algorithms for chemical graphs
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Use of Structure−Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection
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Chemical Fragment Generation and Clustering Software
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Identification of Biological Activity Profiles Using Substructural Analysis and Genetic Algorithms
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Synthesis and Applications of Small Molecule Libraries
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Applications of Combinatorial Technologies to Drug Discovery. 1. Background and Peptide Combinatorial Libraries
inferredcites →https://doi.org/10.1021/jm9706776openalex-snapshot
A Scoring Scheme for Discriminating between Drugs and Nondrugs

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Additional file 1 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Additional file 2 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Additional file 3 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Additional file 4 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Additional file 5 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Additional file 6 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Additional file 7 of Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
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Synthesis and Antimicrobial Activities of Novel Aminoalkylated 2H-benzotriazoles
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