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Chemical and Biological Properties of Frequent Screening Hits

https://doi.org/10.1021/ci300005y
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What this work says

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

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Mining High‐Throughput Screening Data by Novel Knowledge‐Based Optimization Analysis
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Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings 1PII of original article: S0169-409X(96)00423-1. The article was originally published in Advanced Drug Delivery Reviews 23 (1997) 3–25. 1
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Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
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Novel Statistical Approach for Primary High-Throughput Screening Hit Selection
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Learning from the Data: Mining of Large High-Throughput Screening Databases
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A Common Mechanism Underlying Promiscuous Inhibitors from Virtual and High-Throughput Screening
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Simple Selection Criteria for Drug-like Chemical Matter
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Identification and Prediction of Promiscuous Aggregating Inhibitors among Known Drugs
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A Specific Mechanism of Nonspecific Inhibition
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Promiscuous Aggregate-Based Inhibitors Promote Enzyme Unfolding
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High-throughput assays for promiscuous inhibitors
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Impact of high-throughput screening in biomedical research
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TGF-β SIGNAL TRANSDUCTION
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BioAssay Ontology Annotations Facilitate Cross-Analysis of Diverse High-Throughput Screening Data Sets
inferredcites →https://doi.org/10.1186/1471-2105-12-257openalex-snapshot
BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results
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What points at this work

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

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Computational Techniques to Support Hit Triage
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Pharmacological Chaperoning: A Potential Treatment for PMM2-CDG
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Pharmacophore Modeling, Ensemble Docking, Virtual Screening, and Biological Evaluation on Glycogen Synthase Kinase‐3β
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Modeling Tanimoto Similarity Value Distributions and Predicting Search Results
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Data Quality Assurance and Statistical Analysis of High Throughput Screenings for Drug Discovery
inferred← citeshttps://doi.org/10.1016/j.bbapap.2013.05.010openalex-snapshot
Cheminformatics at the interface of medicinal chemistry and proteomics
inferred← citeshttps://doi.org/10.1016/j.bmc.2014.02.055openalex-snapshot
Exploring the biological promiscuity of high-throughput screening hits through DFT calculations
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Discovery of Selective Small-Molecule Inhibitors for the β-Catenin/T-Cell Factor Protein–Protein Interaction through the Optimization of the Acyl Hydrazone Moiety
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Application of Negative Design To Design a More Desirable Virtual Screening Library
inferred← citeshttps://doi.org/10.1021/acschembio.6b00029openalex-snapshot
Analysis of Iterative Screening with Stepwise Compound Selection Based on Novartis In-house HTS Data
inferred← citeshttps://doi.org/10.1021/ci300382fopenalex-snapshot
Locating Sweet Spots for Screening Hits and Evaluating Pan-Assay Interference Filters from the Performance Analysis of Two Lead-like Libraries
inferred← citeshttps://doi.org/10.1021/jm400499kopenalex-snapshot
Screening and Evaluation of Small Organic Molecules as ClpB Inhibitors and Potential Antimicrobials
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Discovery of a potent anti-tumor agent through regioselective mono-N-acylation of 7H-pyrrolo[3,2-f]quinazoline-1,3-diamine
inferred← citeshttps://doi.org/10.1093/bib/bbw105openalex-snapshot
Data-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening
inferred← citeshttps://doi.org/10.12688/f1000research.6160.1openalex-snapshot
A brief review of recent Charcot-Marie-Tooth research and priorities
inferred← citeshttps://doi.org/10.1517/17425255.2012.711317openalex-snapshot
Strategies for the generation, validation and application ofin silicoADMET models in lead generation and optimization
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Non-stoichiometric inhibition in integrated lead finding – a literature review
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Novel approaches to pulmonary arterial hypertension drug discovery
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