Covalent Fragment Screening Using the Quantitative Irreversible Tethering Assay

Compounds that form covalent bonds with specific target proteins offer a variety of advantages as chemical probes and therapeutic agents. Most commonly, mildly reactive, electrophilic small molecules are employed to form covalent bonds with select cysteine side chains in specific proteins. Electrophile-first approaches of ligand discovery, whereby a library of electrophilic small molecules are screened against a protein target, have become popular as they avoid the need for time-consuming downstream installation of an electrophilic warhead. Such screening is complicated, however, as electrophilic ligands can exhibit a wide range of different rates of spontaneous reaction with cysteines. Quantitative-irreversible tethering (qIT) offers a fluorescence-based method for hit identification and development that normalizes data for these differences in intrinsic compound reactivity. Rates of reaction of individual compounds with a target protein are determined and compared to compound reactivity with the unstructured tripeptide glutathione (this being a proxy for spontaneous compound reaction), enabling the identification of compounds that preferentially react with the protein of interest. This methodology has been successfully applied to identify selective covalent fragments against several drug targets, including SARS-CoV-2 main protease, cyclin-dependent kinase 2, and RAP27A. Here, we demonstrate the application of qIT to a target protein to generate a quantitative and robust data set, allowing prioritization of hit ligands for future development.

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Journal
Journal of Visualized Experiments
Published
2025-02-28
DOI
https://doi.org/10.3791/67178
Primary Topic
Click Chemistry and Applications
Type
article
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article

Covalent Fragment Screening Using the Quantitative Irreversible Tethering Assay

Alan Armstrong, David J. Mann, C. C. Brown
Journal of Visualized Experiments
Click Chemistry and Applications
article

Covalent Fragment Screening Using the Quantitative Irreversible Tethering Assay

Alan Armstrong, David J. Mann, C. C. Brown
article en

Abstract

Compounds that form covalent bonds with specific target proteins offer a variety of advantages as chemical probes and therapeutic agents. Most commonly, mildly reactive, electrophilic small molecules are employed to form covalent bonds with select cysteine side chains in specific proteins. Electrophile-first approaches of ligand discovery, whereby a library of electrophilic small molecules are screened against a protein target, have become popular as they avoid the need for time-consuming downstream installation of an electrophilic warhead. Such screening is complicated, however, as electrophilic ligands can exhibit a wide range of different rates of spontaneous reaction with cysteines. Quantitative-irreversible tethering (qIT) offers a fluorescence-based method for hit identification and development that normalizes data for these differences in intrinsic compound reactivity. Rates of reaction of individual compounds with a target protein are determined and compared to compound reactivity with the unstructured tripeptide glutathione (this being a proxy for spontaneous compound reaction), enabling the identification of compounds that preferentially react with the protein of interest. This methodology has been successfully applied to identify selective covalent fragments against several drug targets, including SARS-CoV-2 main protease, cyclin-dependent kinase 2, and RAP27A. Here, we demonstrate the application of qIT to a target protein to generate a quantitative and robust data set, allowing prioritization of hit ligands for future development.

Journal of Visualized Experiments(216)
Molecular Sciences Institute (US), Imperial College London (GB)
Zero hunger
Openalex Percentile: Top 97%
Click Chemistry and Applications
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Covalent Fragment Screening Using the Quantitative Irreversible Tethering Assay — Alan Armstrong, David J. Mann, et al. · Journal of Visualized Experiments (2025) | TGRS Research Map | TGRS