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Cited by 521

The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.

Proteolysis-targeting chimera (PROTAC) for targeted protein degradation and cancer therapy

Open access
Li, Xin, Song, Yongcheng·2020·Journal of Hematology & Oncology

Abstract

Proteolysis-targeting chimera (PROTAC) has been developed to be a useful technology for targeted protein degradation. A bifunctional PROTAC molecule consists of a ligand (mostly small-molecule inhibitor) of the protein of interest (POI) and a covalently linked ligand of an E3 ubiquitin ligase (E3). Upon binding to the POI, the PROTAC can recruit E3 for POI ubiquitination, which is subjected to proteasome-mediated degradation. PROTAC complements nucleic acid-based gene knockdown/out technologies for targeted protein reduction and could mimic pharmacological protein inhibition. To date, PROTACs targeting ~ 50 proteins, many of which are clinically validated drug targets, have been successfully developed with several in clinical trials for cancer therapy. This article reviews PROTAC-mediated degradation of critical oncoproteins in cancer, particularly those in hematological malignancies. Chemical structures, cellular and in vivo activities, pharmacokinetics, and pharmacodynamics of these PROTACs are summarized. In addition, potential advantages, challenges, and perspectives of PROTAC technology in cancer therapy are discussed.

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Metadata

Authors
Li, X., & Song, Y.
Venue
Journal of Hematology & Oncology
Published
2020-05-13
Volume
13
Issue
1
Pages
50-50
ISSN
1756-8722 (ISSN-L)
OpenAlex
W3027679488
Cited by
521
References
105
FWCI
13.35
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Proteolysis-targeting chimera (PROTAC) for targeted protein degradation and cancer therapy. https://app.cochat.ai/papers/10.1186/s13045-020-00885-3
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Li, X., & Song, Y. (2020). Proteolysis-targeting chimera (PROTAC) for targeted protein degradation and cancer therapy. Journal of Hematology & Oncology. https://doi.org/10.1186/s13045-020-00885-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.