Literature DB >> 27044684

Identification of Small-Molecule Frequent Hitters of Glutathione S-Transferase-Glutathione Interaction.

Jara K Brenke1, Elena S Salmina2, Larissa Ringelstetter1, Scarlett Dornauer1, Maria Kuzikov3, Ina Rothenaigner1, Kenji Schorpp1, Fabian Giehler4, Jay Gopalakrishnan5, Arnd Kieser4, Sheraz Gul3, Igor V Tetko6, Kamyar Hadian7.   

Abstract

In high-throughput screening (HTS) campaigns, the binding of glutathione S-transferase (GST) to glutathione (GSH) is used for detection of GST-tagged proteins in protein-protein interactions or enzyme assays. However, many false-positives, so-called frequent hitters (FH), arise that either prevent GST/GSH interaction or interfere with assay signal generation or detection. To identify GST-FH compounds, we analyzed the data of five independent AlphaScreen-based screening campaigns to classify compounds that inhibit the GST/GSH interaction. We identified 53 compounds affecting GST/GSH binding but not influencing His-tag/Ni(2+)-NTA interaction and general AlphaScreen signals. The structures of these 53 experimentally identified GST-FHs were analyzed in chemoinformatic studies to categorize substructural features that promote interference with GST/GSH binding. Here, we confirmed several existing chemoinformatic filters and more importantly extended them as well as added novel filters that specify compounds with anti-GST/GSH activity. Selected compounds were also tested using different antibody-based GST detection technologies and exhibited no interference clearly demonstrating specificity toward their GST/GSH interaction. Thus, these newly described GST-FH will further contribute to the identification of FH compounds containing promiscuous substructures. The developed filters were uploaded to the OCHEM website (http://ochem.eu) and are publicly accessible for analysis of future HTS results.
© 2016 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  AlphaScreen; GST; frequent hitter; glutathione; high-throughput screening

Mesh:

Substances:

Year:  2016        PMID: 27044684     DOI: 10.1177/1087057116639992

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


  6 in total

1.  Targeting TRAF6 E3 ligase activity with a small-molecule inhibitor combats autoimmunity.

Authors:  Jara K Brenke; Grzegorz M Popowicz; Kenji Schorpp; Ina Rothenaigner; Manfred Roesner; Isabel Meininger; Cédric Kalinski; Larissa Ringelstetter; Omar R'kyek; Gerrit Jürjens; Michelle Vincendeau; Oliver Plettenburg; Michael Sattler; Daniel Krappmann; Kamyar Hadian
Journal:  J Biol Chem       Date:  2018-06-27       Impact factor: 5.157

2.  Studying OTUD6B-OTUB1 Protein-Protein Interaction by Low-Throughput GFP-Trap Assays and High-Throughput AlphaScreen Assays.

Authors:  Elisabeth Weber; Kenji Schorpp; Kamyar Hadian
Journal:  Methods Mol Biol       Date:  2021

3.  Modeling Small-Molecule Reactivity Identifies Promiscuous Bioactive Compounds.

Authors:  Matthew K Matlock; Tyler B Hughes; Jayme L Dahlin; S Joshua Swamidass
Journal:  J Chem Inf Model       Date:  2018-07-23       Impact factor: 6.162

4.  Brief Guide: Experimental Strategies for High-Quality Hit Selection from Small-Molecule Screening Campaigns.

Authors:  Ina Rothenaigner; Kamyar Hadian
Journal:  SLAS Discov       Date:  2021-04-21       Impact factor: 3.341

5.  BIGCHEM: Challenges and Opportunities for Big Data Analysis in Chemistry.

Authors:  Igor V Tetko; Ola Engkvist; Uwe Koch; Jean-Louis Reymond; Hongming Chen
Journal:  Mol Inform       Date:  2016-07-28       Impact factor: 3.353

Review 6.  Epigenetic assays for chemical biology and drug discovery.

Authors:  Sheraz Gul
Journal:  Clin Epigenetics       Date:  2017-04-21       Impact factor: 6.551

  6 in total

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