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Visualization of Large-Scale Aqueous Solubility Data Using a Novel Hierarchical Data Visualization Technique

https://doi.org/10.1021/ci0504770
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What this work says

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

inferredcites →https://doi.org/10.1002/jps.10022openalex-snapshot
Prediction of the aqueous solubility: Comparison of the general solubility equation and the method using an amended solvation energy relationship
inferredcites →https://doi.org/10.1007/978-3-642-56927-2openalex-snapshot
Self-Organizing Maps
inferredcites →https://doi.org/10.1016/s0169-409x(02)00008-xopenalex-snapshot
Prediction of drug solubility from structure
inferredcites →https://doi.org/10.1016/s0169-409x(96)00423-1openalex-snapshot
Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
inferredcites →https://doi.org/10.1021/ci020279yopenalex-snapshot
Modeling Aqueous Solubility
inferredcites →https://doi.org/10.1021/ci0496954openalex-snapshot
Molecular Property eXplorer: A Novel Approach to Visualizing SAR Using Tree-Maps and Heatmaps
inferredcites →https://doi.org/10.1080/02652038709373622openalex-snapshot
An evaluation of the decision tree approach for assessing priorities for safety testing of food additives
inferredcites →https://doi.org/10.1109/tvcg.2004.1272729openalex-snapshot
Hierarchical data visualization using a fast rectangle-packing algorithm
inferredcites →https://doi.org/10.1124/dmd.31.9.1077openalex-snapshot
GENERATION AND VALIDATION OF RAPID COMPUTATIONAL FILTERS FOR CYP2D6 AND CYP3A4
inferredcites →https://doi.org/10.1145/571647.571649openalex-snapshot
Ordered and quantum treemaps
inferredcites →https://doi.org/10.4135/9781412985130openalex-snapshot
Multidimensional Scaling

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9780470567623.ch15openalex-snapshot
Dimensionality Reduction Techniques for Pharmaceutical Data Mining
inferred← citeshttps://doi.org/10.1002/9783527628766.biblioopenalex-snapshot
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The use of machine learning and nonlinear statistical tools for ADME prediction
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Structure-Activity Relationship Modeling for Predicting Interactions with Pregnane X Receptor by Recursive Partitioning
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