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Finding Key Members in Compound Libraries by Analyzing Networks of Molecules Assembled by Structural Similarity

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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 Graphs and Networks
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Handbook of Chemoinformatics
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An Introduction To Chemoinformatics
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Utilizing high throughput screening data for predictive toxicology models: protocols and application to MLSCN assays
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Minimal spanning tree clustering of gas chromatographic liquid phases
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Graph Theoretical Similarity Approach To Compare Molecular Electrostatic Potentials
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Comparison of Similarity Coefficients for Clustering and Compound Selection
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Quantifying the Relationships among Drug Classes
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Selection and classification of volatile compounds of apricot using the RV coefficient
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Multivariate analysis by the minimum spanning tree method of the structural determinants of diphenylethylenes and triphenylacrylonitriles implicated in estrogen receptor binding, protein kinase C activity, and MCF7 cell proliferation
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Quantitative Structure−Activity Relationship and Complex Network Approach to Monoamine Oxidase A and B Inhibitors
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IcePick: A Flexible Surface-Based System for Molecular Diversity
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Relating protein pharmacology by ligand chemistry
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Similarity-based approaches to virtual screening
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Computational approaches to study transcriptional regulation
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The Structure and Dynamics of Networks
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Chemical Informatics Functionality in R
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What Does Systems Biology Mean for Drug Development?

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Reaction Schemes Visualized in Network Form: The Syntheses of Strychnine as an Example
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Blocked Inverted Indices for Exact Clustering of Large Chemical Spaces
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Applicability Domain Based on Ensemble Learning in Classification and Regression Analyses
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Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach
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Drowning in diversity? A systematic way of clustering and selecting a representative set of new psychoactive substances
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Automatic identification of relevant chemical compounds from patents
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“Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool
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Visualizing chemical space networks with RDKit and NetworkX
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1004153openalex-snapshot
Large-Scale Chemical Similarity Networks for Target Profiling of Compounds Identified in Cell-Based Chemical Screens
inferred← citeshttps://doi.org/10.1371/journal.pone.0088938openalex-snapshot
Node Interference and Robustness: Performing Virtual Knock-Out Experiments on Biological Networks: The Case of Leukocyte Integrin Activation Network
inferred← citeshttps://doi.org/10.5772/35846openalex-snapshot
Centralities Based Analysis of Complex Networks
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On the Organization of a Drug Discovery Platform
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Additional file 1 of “Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool
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Additional file 1 of Visualizing chemical space networks with RDKit and NetworkX
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