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Cited by 490

The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.

PROTACs: An Emerging Therapeutic Modality in Precision Medicine

Open access
Nalawansha, Dhanusha A., Crews, Craig M.·2020·Cell Chemical Biology

Abstract

Targeted Protein Degradation (TPD) has emerged as an exciting new era in chemical biology and drug discovery. PROteolysis TArgeting Chimera (PROTAC) technology targets cellular proteins for degradation by co-opting the Ubiquitin Proteasome System. Over the last five years, numerous studies have expanded our understanding of the unique mode of action and advantages of PROTACs, which has in turn spurred interest in both academia and industry to explore PROTACs as a novel therapeutic strategy. In this review, we first highlight the key advantages of PROTACs and then discuss the spatiotemporal regulation of protein degradation. Next, we explore current chemically tractable E3 ligases focusing on expanding the existing repertoire with novel E3 ligases to uncover the full potential of TPD. Collectively, these studies are guiding the development of the PROTAC technology as it emerges as a new modality in precision medicine.

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Crossref · 10.1016/j.chembiol.2020.07.020

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Metadata

Authors
Nalawansha, D. A., & Crews, C. M.
Venue
Cell Chemical Biology
Publisher
Elsevier BV
Published
2020-08
Volume
27
Issue
8
Pages
998-1014
ISSN
  • 2451-9448 (ISSN-L)
  • 2451-9456
OpenAlex
W3049656208
Cited by
490
References
178
FWCI
15.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: PROTACs: An Emerging Therapeutic Modality in Precision Medicine. https://app.cochat.ai/papers/10.1016/j.chembiol.2020.07.020
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Nalawansha, D. A., & Crews, C. M. (2020). PROTACs: An Emerging Therapeutic Modality in Precision Medicine. Cell Chemical Biology. https://doi.org/10.1016/j.chembiol.2020.07.020

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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.