| Literature DB >> 33275901 |
Katherine A Donovan1, Fleur M Ferguson1, Jonathan W Bushman1, Nicholas A Eleuteri2, Debabrata Bhunia3, SeongShick Ryu4, Li Tan5, Kun Shi6, Hong Yue1, Xiaoxi Liu1, Dennis Dobrovolsky1, Baishan Jiang1, Jinhua Wang1, Mingfeng Hao1, Inchul You1, Mingxing Teng1, Yanke Liang1, John Hatcher1, Zhengnian Li1, Theresa D Manz7, Brian Groendyke1, Wanyi Hu2, Yunju Nam8, Sandip Sengupta9, Hanna Cho8, Injae Shin4, Michael P Agius10, Irene M Ghobrial10, Michelle W Ma1, Jianwei Che1, Sara J Buhrlage1, Taebo Sim11, Nathanael S Gray12, Eric S Fischer13.
Abstract
Targeted protein degradation (TPD) refers to the use of small molecules to induce ubiquitin-dependent degradation of proteins. TPD is of interest in drug development, as it can address previously inaccessible targets. However, degrader discovery and optimization remains an inefficient process due to a lack of understanding of the relative importance of the key molecular events required to induce target degradation. Here, we use chemo-proteomics to annotate the degradable kinome. Our expansive dataset provides chemical leads for ∼200 kinases and demonstrates that the current practice of starting from the highest potency binder is an ineffective method for discovering active compounds. We develop multitargeted degraders to answer fundamental questions about the ubiquitin proteasome system, uncovering that kinase degradation is p97 dependent. This work will not only fuel kinase degrader discovery, but also provides a blueprint for evaluating targeted degradation across entire gene families to accelerate understanding of TPD beyond the kinome.Entities:
Keywords: E3 ligase; IMiD; PROTAC; degrader; kinase; targeted degradation; ubiquitin; ubiquitin proteasome system
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Year: 2020 PMID: 33275901 DOI: 10.1016/j.cell.2020.10.038
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582