High-throughput screening assays for the identification of chemical probes.

By James Inglese, Ronald L. Johnson, Anton Simeonov, Menghang Xia, Wei Zheng, C. Austin, D. Auld. 2007

577 citations recorded by the source corpus.

Subfields: Cell Biology, Computational Theory and Mathematics, Molecular Biology, Computational Chemistry & Drug Discovery

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In Computational Theory and Mathematics

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Citations in the corpus

A Role for Fragment-Based Drug Design in Developing Novel Lead Compounds for Central Nervous System Targets (2015, methodology): “The assays may assess the compound’s receptor-binding affinity or functional response (e.g., Ca 2 + channel opening, vasodilation, analgesia) (15).”
Target identification using drug affinity responsive target stability (DARTS) (2009, background): “For small molecules discovered in phenotypic screens, which are increasingly popular in chemical genetics studies, identifying the biological (and potential therapeutic) targets, along with the off-targets, is a largely ad hoc affair; a systematic, widely applicable and robust approach is badly need”
Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor. (2015, background): “We expect that there will be sets of chemicals that are true ER agonists or antagonists, but that there will also be chemicals exhibiting a variety of types of assay interference (Hsieh et al., 2015; Inglese et al., 2007; Thorne et al., 2010).”
Considerations for the design and reporting of enzyme assays in high-throughput screening applications (2014, background): “A guideline for reporting HTS assay protocols has been suggested (Inglese et al., 2007).”
PubChem3D: Biologically relevant 3-D similarity (2011, background): “Background Recent advances in combinatorial chemistry [1-6] and high-throughput screening technology [7-17] have made the synthesis and screening of diverse chemical compounds easier, helping to create a demand in the biomedical research community for archives of publicly available screening data.”
Bright ideas for chemical biology. (2008, unknown): “widely in high-throughput screening (102).”