The DOI matches its Crossref record; 233 of the 233 references it cites were found in a registry or an index.
Enzyme Inhibitor Discovery by Activity-Based Protein Profiling
Open accessAbstract
Eukaryotic and prokaryotic organisms possess huge numbers of uncharacterized enzymes. Selective inhibitors offer powerful probes for assigning functions to enzymes in native biological systems. Here, we discuss how the chemical proteomic platform activity-based protein profiling (ABPP) can be implemented to discover selective and in vivo–active inhibitors for enzymes. We further describe how these inhibitors have been used to delineate the biochemical and cellular functions of enzymes, leading to the discovery of metabolic and signaling pathways that make important contributions to human physiology and disease. These studies demonstrate the value of selective chemical probes as drivers of biological inquiry.
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Cites
1 retracted
Selective killing of cancer cells by a small molecule targeting the stress response to ROS
Raj, L., Ide, T., Gurkar, A. U., Foley, M., Schenone, M., Li, X., Tolliday, N. J., Golub, T. R., Carr, S. A., Shamji, A. F., et al. (2011) · Nature · doi:10.1038/nature10167 · Cited by 1,030
RetractedLarge-scale analysis of the yeast proteome by multidimensional protein identification technology
Washburn, M. P., Wolters, D., & Yates, J. R. (2001) · Nature Biotechnology · doi:10.1038/85686 · Cited by 4,752
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
Global analysis of protein localization in budding yeast
Huh, W.-K., Falvo, J. V., Gerke, L. C., Carroll, A. S., Howson, R. W., Weissman, J. S., & O'Shea, E. K. (2003) · Nature · doi:10.1038/nature02026 · Cited by 4,248
Mutations in LRRK2 Cause Autosomal-Dominant Parkinsonism with Pleomorphic Pathology
Zimprich, A., Biskup, S., Leitner, P., Lichtner, P., Farrer, M., Lincoln, S., Kachergus, J., Hulihan, M., Uitti, R. J., Calne, D. B., et al. (2004) · Neuron · doi:10.1016/j.neuron.2004.11.005 · Cited by 3,005
Targeting cancer with small molecule kinase inhibitors
Zhang, J., Yang, P. L., & Gray, N. S. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2559 · Cited by 2,576
Comprehensive analysis of kinase inhibitor selectivity
Davis, M. I., Hunt, J. P., Herrgard, S., Ciceri, P., Wodicka, L. M., Pallares, G., Hocker, M., Treiber, D. K., & Zarrinkar, P. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1990 · Cited by 2,409
Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay
Molina, D. M., Jafari, R., Ignatushchenko, M., Seki, T., Larsson, E. A., Dan, C., Sreekumar, L., Cao, Y., & Nordlund, P. (2013) · Science · doi:10.1126/science.1233606 · Cited by 2,261
Identification of RIP1 kinase as a specific cellular target of necrostatins
Degterev, A., Hitomi, J., Germscheid, M., Ch'en, I. L., Korkina, O., Teng, X., Abbott, D., Cuny, G. D., Yuan, C., Wagner, G., et al. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.83 · Cited by 2,059
A small molecule–kinase interaction map for clinical kinase inhibitors
Fabian, M. A., Biggs, W. H., Treiber, D. K., Atteridge, C. E., Azimioara, M. D., Benedetti, M. G., Carter, T. A., Ciceri, P., Edeen, P. T., Floyd, M., et al. (2005) · Nature Biotechnology · doi:10.1038/nbt1068 · Cited by 1,892
Cited by
Kinase inhibitors: the road ahead
Ferguson, F. M., & Gray, N. S. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.21 · Cited by 1,009
Click Chemistry in Proteomic Investigations
Parker, C. G., & Pratt, M. R. (2020) · Cell · doi:10.1016/j.cell.2020.01.025 · Cited by 380
The emerging role of mass spectrometry-based proteomics in drug discovery
Meissner, F., Geddes-McAlister, J., Mann, M., & Bantscheff, M. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00409-3 · Cited by 341
Activity-based protein profiling reveals off-target proteins of the FAAH inhibitor BIA 10-2474
van Esbroeck, A. C. M., Janssen, A. P. A., Cognetta, A. B., Ogasawara, D., Shpak, G., van der Kroeg, M., Kantae, V., Baggelaar, M. P., de Vrij, F. M. S., Deng, H., et al. (2017) · Science · doi:10.1126/science.aaf7497 · Cited by 332
Self-citationCovalent inhibitors design and discovery.
De Cesco, S., Kurian, J., Dufresne, C., Mittermaier, A. K., & Moitessier, N. (2017) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.06.019 · Cited by 315
Metadata
- Authors
- Niphakis, M. J., & Cravatt, B. F.
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2014-06-02
- Volume
- 83
- Issue
- 1
- Pages
- 341-377
- ISSN
- 0066-4154 (ISSN-L)
- 1545-4509
- OpenAlex
- W2111385909
- Cited by
- 366
- References
- 233
- FWCI
- 1.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Niphakis, M. J., & Cravatt, B. F. (2014). Enzyme Inhibitor Discovery by Activity-Based Protein Profiling. Annual Review of Biochemistry. https://doi.org/10.1146/annurev-biochem-060713-035708
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