Literature DB >> 16361695

A chemoinformatics analysis of hit lists obtained from high-throughput affinity-selection screening.

Nathan Brown1, Hartmut Zehender, Kamal Azzaoui, Ansgar Schuffenhauer, Lorenz M Mayr, Edgar Jacoby.   

Abstract

The high-throughput affinity-selection screening platform SpeedScreen was recently reported by the Novartis Institutes for BioMedical Research as a homogeneous, label-free screening technology with mass-spectrometry readout. SpeedScreen relies on the screening of compound mixtures with various target proteins and uses fast size-exclusion chromatography to separate target-bound from unbound substances. After disintegration of the target-binder complex, the binder molecules are identified by their molecular masses using liquid chromatography/mass spectrometry. The authors report an analysis of the molecular properties of hits obtained with SpeedScreen on 26 targets screened within the past few years at Novartis using this technology. Affinity-based SpeedScreen is a robust high-throughput screening technology that does not accumulate frequent hitters or potential covalent binders. The hits are representative of the most commonly identified scaffold classes observed for known drugs. Validated SpeedScreen hits tend to be enriched on more lipophilic and larger-molecular-weight compounds compared to the whole library. The potential for a reduced SpeedScreen screening set to be used in case only limited protein quantities are available is evaluated. Such a reduced compound set should also maximize the coverage of the high-performing regions of the chemical property and class spaces; chemoinformatics methods including genetic algorithms and divisive K-means clustering are used for this aim.

Entities:  

Mesh:

Year:  2005        PMID: 16361695     DOI: 10.1177/1087057105283579

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


  5 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-11       Impact factor: 11.205

3.  HAMS: High-Affinity Mass Spectrometry Screening. A High-Throughput Screening Method for Identifying the Tightest-Binding Lead Compounds for Target Proteins with No False Positive Identifications.

Authors:  Kasun P Imaduwage; Eden P Go; Zhikai Zhu; Heather Desaire
Journal:  J Am Soc Mass Spectrom       Date:  2016-09-06       Impact factor: 3.109

Review 4.  Recent developments in protein-ligand affinity mass spectrometry.

Authors:  Niels Jonker; Jeroen Kool; Hubertus Irth; Wilfried M A Niessen
Journal:  Anal Bioanal Chem       Date:  2010-11-08       Impact factor: 4.142

5.  Developing and validating predictive decision tree models from mining chemical structural fingerprints and high-throughput screening data in PubChem.

Authors:  Lianyi Han; Yanli Wang; Stephen H Bryant
Journal:  BMC Bioinformatics       Date:  2008-09-25       Impact factor: 3.169

  5 in total

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