Systematic Targeting of Protein Complexes with Molecular COUPLrs

Small molecules that modulate protein complexes have transformed cell biology and oncology, yet few chemical starting points exist to probe protein-protein interactions. To expand this space, we developed molecular COUPLrs, elaborated small molecules flanked by two cysteine‑reactive warheads. Using CONNECT, an integrated chemical proteomic platform that identifies proteins and complexes amenable to coupling, we revealed 171 targetable protein classes, including mutant‑selective complexes and assemblies not traditionally addressed by small molecules. We then optimized a COUPLr against the oncogenic fusion EML4‑ALK. This compound engages EML4‑ALK by binding its EML4 domain, remodeling protein dynamics, disrupting downstream signaling, and inducing proteasome‑mediated degradation of the fusion. Finally, we show that FDA‑approved drugs can be converted into COUPLrs to degrade their targets, indicating that this modality can endow existing therapeutics with new functional properties. Overall, molecular COUPLrs offer an unbiased framework to discover, characterize, and pharmacologically exploit protein complexes.

Authors

Institutions

Publication Details

Journal
Cancer Discovery
Published
2026-07-27
DOI
https://doi.org/10.1158/2159-8290.cd-25-2314
Citations
4
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Targeting of Protein Complexes with Molecular COUPLrs

Emily E. Ackerman, Diane Yang, Stefan Harry, Huan Yee Koh et al.
4 citations
Cancer Discovery
Cancer, Hypoxia, and Metabolism
article

Systematic Targeting of Protein Complexes with Molecular COUPLrs

Emily E. Ackerman, Diane Yang, Stefan Harry, Huan Yee Koh, Liron Bar‐Peled, Toshio Fujino, Siwen Zhang, Natalie Shannon Nordenfelt, Sirano Dhe‐Paganon, Zhenyu Sun, Brian B. Liau, Stefan T. Kaluziak, M Lazarov, Gregory J. Heffron, Edwin Zhang, A. John Iafrate, Nicholas J. Chen, Mariko Takahashi, Maolin Ge, Mohammed Mahamdeh, Hyuk‐Soo Seo, Harrison B. Chong, Vivek Naranbhai, Radosław P. Nowak, Neha Khandelwal, Roy J. Soberman, Aaron N. Hata, Maristela L. Onozato, George Popoola, Idris A Barakat, Jan Gerhartz, Wenxin Yang, Dawn Mitchell, Zavontae Holmes, Zander Chearavanont, Kim Emonds, Samay Trivedi, Elizabeth Codd, Giovan McKnight, Chengzhuo Gao, Magdy Gohar, Reilly Stevens, Anastasia Ignashkina, Herman Xin Yang. Leong, Christine Lee, Abigail Elizabeth. Smith, Alexander Daniel. Carlin, Sufian Moawiyah. Ibrahim, Paul Strickland. Mullin, Christopher J. Ott, Hector Martinez. Luna
article en
4 citations

Abstract

Small molecules that modulate protein complexes have transformed cell biology and oncology, yet few chemical starting points exist to probe protein-protein interactions. To expand this space, we developed molecular COUPLrs, elaborated small molecules flanked by two cysteine‑reactive warheads. Using CONNECT, an integrated chemical proteomic platform that identifies proteins and complexes amenable to coupling, we revealed 171 targetable protein classes, including mutant‑selective complexes and assemblies not traditionally addressed by small molecules. We then optimized a COUPLr against the oncogenic fusion EML4‑ALK. This compound engages EML4‑ALK by binding its EML4 domain, remodeling protein dynamics, disrupting downstream signaling, and inducing proteasome‑mediated degradation of the fusion. Finally, we show that FDA‑approved drugs can be converted into COUPLrs to degrade their targets, indicating that this modality can endow existing therapeutics with new functional properties. Overall, molecular COUPLrs offer an unbiased framework to discover, characterize, and pharmacologically exploit protein complexes.

Cancer Discovery
University of Bonn (DE), Harvard University Press (US), Massachusetts General Hospital (US), Dana-Farber Cancer Institute (US), Monash University (AU)
Openalex Percentile: Top 100%
Cancer, Hypoxia, and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.