The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
KEAP1‐NRF2 protein–protein interaction inhibitors: Design, pharmacological properties and therapeutic potential
Open accessAbstract
The transcription factor nuclear factor erythroid 2‐related factor 2 (NRF2) is considered the master regulator of the phase II antioxidant response. It controls a plethora of cytoprotective genes related to oxidative stress, inflammation, and protein homeostasis, among other processes. Activation of these pathways has been described in numerous pathologies including cancer, cardiovascular, respiratory, renal, digestive, metabolic, autoimmune, and neurodegenerative diseases. Considering the increasing interest of discovering novel NRF2 activators due to its clinical application, initial efforts were devoted to the development of electrophilic drugs able to induce NRF2 nuclear accumulation by targeting its natural repressor protein Kelch‐like ECH‐associated protein 1 (KEAP1) through covalent modifications on cysteine residues. However, off‐target effects of these drugs prompted the development of an innovative strategy, the search of KEAP1‐NRF2 protein–protein interaction (PPI) inhibitors. These innovative activators are proposed to target NRF2 in a more selective way, leading to potentially improved drugs with the application for a variety of diseases that are currently under investigation. In this review, we summarize known KEAP1‐NRF2 PPI inhibitors to date and the bases of their design highlighting the most important features of their respective interactions. We also discuss the preclinical pharmacological properties described for the most promising compounds.
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Cites
Role of nrf2 in oxidative stress and toxicity
Ma, Q. (2013) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-011112-140320 · Cited by 4,903
Reactive Oxygen Species in Inflammation and Tissue Injury
Mittal, M., Siddiqui, M. R., Tran, K., Reddy, S. P., & Malik, A. B. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.5149 · Cited by 4,897
Itoh, K., Chiba, T., Takahashi, S., Ishii, T., Igarashi, K., Katoh, Y., Oyake, T., Hayashi, N., Satoh, K., Hatayama, I., et al. (1997) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1997.6943 · Cited by 3,999
Sies, H., Berndt, C., & Jones, D. P. (2017) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061516-045037 · Cited by 3,520
ZINC 15 – Ligand Discovery for Everyone
Sterling, T., & Irwin, J. J. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00559 · Cited by 3,224
ZINC: A Free Tool to Discover Chemistry for Biology
Irwin, J. J., Sterling, T., Mysinger, M. M., Bolstad, E. S., & Coleman, R. G. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci3001277 · Cited by 2,509
Oncogene-induced Nrf2 transcription promotes ROS detoxification and tumorigenesis
DeNicola, G. M., Karreth, F. A., Humpton, T. J., Gopinathan, A., Wei, C., Frese, K., Mangal, D., Yu, K. H., Yeo, C. J., Calhoun, E. S., et al. (2011) · Nature · doi:10.1038/nature10189 · Cited by 2,277
Kobayashi, A., Kang, M.-I., Okawa, H., Ohtsuji, M., Zenke, Y., Chiba, T., Igarashi, K., & Yamamoto, M. (2004) · Molecular and Cellular Biology · doi:10.1128/mcb.24.16.7130-7139.2004 · Cited by 2,224
The Nrf2 regulatory network provides an interface between redox and intermediary metabolism
Hayes, J. D., & Dinkova-Kostova, A. T. (2014) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2014.02.002 · Cited by 2,141
Dinkova-Kostova, A. T., Holtzclaw, W. D., Cole, R. N., Itoh, K., Wakabayashi, N., Katoh, Y., Yamamoto, M., & Talalay, P. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.172398899 · Cited by 1,947
Cited by
Cuadrado, A., Cazalla, E., Bach, A., Bathish, B., Naidu, S. D., DeNicola, G. M., Dinkova-Kostova, A. T., Fernández-Ginés, R., Grochot-Przeczek, A., Hayes, J. D., et al. (2025) · Redox Biology · doi:10.1016/j.redox.2025.103569 · Cited by 28
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Metadata
- Authors
- Crisman, E., Duarte, P., Dauden, E., Cuadrado, A., Rodríguez‐Franco, M. I., López, M. G., & León, R.
- Venue
- Medicinal Research Reviews
- Publisher
- Wiley
- Published
- 2022-09-10
- Volume
- 43
- Issue
- 1
- Pages
- 237-287
- ISSN
- 0198-6325 (ISSN-L)
- 1098-1128
- OpenAlex
- W4295095218
- Cited by
- 257
- References
- 141
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Crisman, E., Duarte, P., Dauden, E., Cuadrado, A., Rodríguez‐Franco, M. I., López, M. G., & León, R. (2023). KEAP1‐NRF2 protein–protein interaction inhibitors: Design, pharmacological properties and therapeutic potential. Medicinal Research Reviews. https://doi.org/10.1002/med.21925
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