Target identification with quantitative activity based protein profiling (ABPP)
- 21 December 2016
- journal article
- review article
- Published by Wiley in Proteomics
- Vol. 17 (3-4)
Abstract
As many small bioactive molecules fulfill their functions through interacting with protein targets, the identification of such targets is crucial in understanding their mechanisms of action (MOA) and side effects. With technological advancements in target identification, it has become possible to accurately and comprehensively study the MOA and side effects of small molecules. While small molecules with therapeutic potential were derived solely from nature in the past, the remodeling and synthesis of such molecules have now been made possible. Presently, while some small molecules have seen successful application as drugs, the majority remain undeveloped, requiring further understanding of their MOA and side effects to fully tap into their potential. Given the typical promiscuity of many small molecules and the complexity of the cellular proteome, a high‐flux and high‐accuracy method is necessary. While affinity chromatography approaches combined with MS have had successes in target identification, limitations associated with nonspecific results remain. To overcome these complications, quantitative chemical proteomics approaches have been developed including metabolic labeling, chemical labeling, and label‐free methods. These new approaches are adopted in conjunction with activity‐based protein profiling (ABPP), allowing for a rapid process and accurate results. This review will briefly introduce the principles involved in ABPP, then summarize current advances in quantitative chemical proteomics approaches as well as illustrate with examples how ABPP coupled with quantitative chemical proteomics has been used to detect the targets of drugs and other bioactive small molecules including natural products.Keywords
Funding Information
- National Medical Research Council (NMRC‐CIRG/1346/2012, NMRC/CIRG/1373/2013)
This publication has 96 references indexed in Scilit:
- DAGLβ inhibition perturbs a lipid network involved in macrophage inflammatory responsesNature Chemical Biology, 2012
- Chemical Proteomic Analysis Reveals the Drugability of the Kinome of Trypanosoma bruceiACS Chemical Biology, 2012
- Natural products reveal cancer cell dependence on oxysterol-binding proteinsNature Chemical Biology, 2011
- Selective killing of cancer cells by a small molecule targeting the stress response to ROSNature, 2011
- Click-generated triazole ureas as ultrapotent in vivo–active serine hydrolase inhibitorsNature Chemical Biology, 2011
- Quantitative reactivity profiling predicts functional cysteines in proteomesNature, 2010
- Fast and Sensitive Pretargeted Labeling of Cancer Cells through a Tetrazine/trans‐Cyclooctene CycloadditionAngewandte Chemie International Edition, 2009
- Bioorthogonal Chemistry: Fishing for Selectivity in a Sea of FunctionalityAngewandte Chemie International Edition, 2009
- Application of activity-based probes to the study of enzymes involved in cancer progressionCurrent Opinion in Genetics & Development, 2008
- Artemisinins target the SERCA of Plasmodium falciparumNature, 2003