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Partially Unified Multiple Property Recursive Partitioning (PUMP-RP): A New Method for Predicting and Understanding Drug Selectivity

https://doi.org/10.1021/ci0203794

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What this work says

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

inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot

Classification and regression trees

inferredcites →https://doi.org/10.1021/ci9903049openalex-snapshot

Analysis of a Large Structure/Biological Activity Data Set Using Recursive Partitioning

What points at this work

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

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Molecular Similarity Methods and QSAR Models As Tools for Virtual Screening

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Desirability‐based multiobjective optimization for global QSAR studies: Application to the design of novel NSAIDs with improved analgesic, antiinflammatory, and ulcerogenic profiles

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Exploring the chemogenomic knowledge space with annotated chemical libraries

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Desirability-Based Methods of Multiobjective Optimization and Ranking for Global QSAR Studies. Filtering Safe and Potent Drug Candidates from Combinatorial Libraries

inferred← citeshttps://doi.org/10.1021/ci0203803openalex-snapshot

Partially Unified Multiple Property Recursive Partitioning (PUMP-RP) Analyses of Cyclooxygenase (COX) Inhibitors

inferred← citeshttps://doi.org/10.1021/ci050087dopenalex-snapshot

Identifying Biologically Active Compound Classes Using Phenotypic Screening Data and Sampling Statistics

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Using High-Throughput Screening Data To Discriminate Compounds with Single-Target Effects from Those with Side Effects

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Emerging Chemical Patterns: A New Methodology for Molecular Classification and Compound Selection

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Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification

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Improving Quantitative Structure−Activity Relationships through Multiobjective Optimization

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Chemical fragment-based CDK4/6 inhibitors prediction and web server

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A combined ligand-based and structure-based in silico molecular modeling approach to pinpoint the key structural attributes of hydroxamate derivatives as promising meprin β inhibitors

inferred← citeshttps://doi.org/10.1080/17460441.2021.1867095openalex-snapshot

Multi-objective optimization methods in novel drug design

inferred← citeshttps://doi.org/10.1517/17460441.2011.588696openalex-snapshot

Strategies of multi-objective optimization in drug discovery and development

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Desirability-Based Multi-Objective QSAR in Drug Discovery

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Amino Acid Features of PIB-ATPase Heavy Metal Transporters Enabling small Numbers of Organisms to Cope with Heavy Metal Pollution

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Molecular Optimization Using Computational Multi-Objective Methods

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