Literature DB >> 24518067

Small-Molecule Library Subset Screening as an Aid for Accelerating Lead Identification.

Maureen H Beresini1, Yichin Liu1, Timothy D Dawes1, Kevin R Clark1, Linda Orren1, Stephen Schmidt1, Rebecca Turincio1, Steven W Jones1, Richard A Rodriguez1, Peter Thana1, Daniel Hascall1, Daniel P Gross1, Nicholas J Skelton2.   

Abstract

Several small-compound library subsets (14,000 to 56,000) have been established to complement screening of a larger Genentech corporate library (~1,300,000). Two validation sets (~1% of the total library) containing compounds representative of the main library were chosen by selection of plates or individual compounds. Use of these subsets guided selection of assay configuration, validated assay reproducibility, and provided estimates of hit rates expected from our full library. A larger diversity subset representing the scaffold diversity of the full library (3.4% of the total) was designed for screening more challenging targets with limited reagent availability or low-throughput assays. Retrospective analysis of this subset showed hit rates similar to those of the main library while recovering a higher proportion of hit scaffolds. Finally, a property-restricted diversity set called the "in-between library" was established to identify ligand-efficient compounds of molecular size between those typically found in fragment and high-throughput screening libraries. It was screened at fivefold higher concentrations than the main library to facilitate identification of less potent yet ligand-efficient compounds. Taken together, this work underscores the value of generating multiple purpose-focused, diversity-based library subsets that are designed using computational approaches coupled with internal screening data analyses to accelerate the lead discovery process.
© 2014 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  compound library; high-throughput screening; library subset; molecular diversity

Mesh:

Substances:

Year:  2014        PMID: 24518067     DOI: 10.1177/1087057114522515

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  6 in total

1.  Enabling drug discovery project decisions with integrated computational chemistry and informatics.

Authors:  Vickie Tsui; Daniel F Ortwine; Jeffrey M Blaney
Journal:  J Comput Aided Mol Des       Date:  2016-10-31       Impact factor: 3.686

2.  Cocktailed fragment screening by X-ray crystallography of the antibacterial target undecaprenyl pyrophosphate synthase from Acinetobacter baumannii.

Authors:  James H Thorpe; Ian D Wall; Robert H Sinnamon; Amy N Taylor; Robert A Stavenger
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2020-01-01       Impact factor: 1.056

3.  Atom-Atom-Path similarity and Sphere Exclusion clustering: tools for prioritizing fragment hits.

Authors:  Alberto Gobbi; Man-Ling Lee; Anthony M Giannetti; Huifen Chen
Journal:  J Cheminform       Date:  2015-03-25       Impact factor: 5.514

4.  Plate-based diversity subset screening generation 2: an improved paradigm for high-throughput screening of large compound files.

Authors:  Andrew S Bell; Joseph Bradley; Jeremy R Everett; Jens Loesel; David McLoughlin; James Mills; Marie-Claire Peakman; Robert E Sharp; Christine Williams; Hongyao Zhu
Journal:  Mol Divers       Date:  2016-09-08       Impact factor: 2.943

5.  chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery.

Authors:  Man-Ling Lee; Ignacio Aliagas; Jianwen A Feng; Thomas Gabriel; T J O'Donnell; Benjamin D Sellers; Bernd Wiswedel; Alberto Gobbi
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Review 6.  A Role for Fragment-Based Drug Design in Developing Novel Lead Compounds for Central Nervous System Targets.

Authors:  Michael J Wasko; Kendy A Pellegrene; Jeffry D Madura; Christopher K Surratt
Journal:  Front Neurol       Date:  2015-09-11       Impact factor: 4.003

  6 in total

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