1. Bispecific Estrogen Receptor α Degraders Incorporating Novel Binders Identified Using DNA-Encoded Chemical Library Screening
- Author
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Diana Gikunju, John W. Cuozzo, Yelena A Arnautova, Sarah A Talcott, Neil Westlund, Andrew J. McRiner, Anthony D. Keefe, Yan Yu, Christelle Huguet, Moritz von Rechenberg, Fei Zhou, Jennifer M Duffy, Shilpi Arora, Esther C.Y. Lee, Ying Zhang, Benjamin Levin, Matthew A. Clark, Jeremy S. Disch, Junyi Zhang, Yanbin Liu, Anton Kozhushnyan, Betty Chan, Anthony C Lau, Michael I Monteiro, Patrick B. Mullins, and Anna Kohlmann
- Subjects
Indoles ,Cell Survival ,Estrogen receptor ,Breast Neoplasms ,Chemical library ,Small Molecule Libraries ,Mice ,Structure-Activity Relationship ,chemistry.chemical_compound ,Cell Line, Tumor ,Drug Discovery ,Animals ,Humans ,Structure–activity relationship ,Aromatase ,biology ,Chemistry ,DNA-encoded chemical library ,Estrogen Antagonists ,Estrogen Receptor alpha ,DNA ,Xenograft Model Antitumor Assays ,Small molecule ,Kinetics ,Biochemistry ,Click chemistry ,biology.protein ,Molecular Medicine ,Click Chemistry ,Female ,Linker ,Half-Life - Abstract
Bispecific degraders (PROTACs) of ERα are expected to be advantageous over current inhibitors of ERα signaling (aromatase inhibitors/SERMs/SERDs) used to treat ER+ breast cancer. Information from DNA-encoded chemical library (DECL) screening provides a method to identify novel PROTAC binding features as the linker positioning, and binding elements are determined directly from the screen. After screening ∼120 billion DNA-encoded molecules with ERα WT and 3 gain-of-function (GOF) mutants, with and without estradiol to identify features that enrich ERα competitively, the off-DNA synthesized small molecule exemplar 7 exhibited nanomolar ERα binding, antagonism, and degradation. Click chemistry synthesis on an alkyne E3 ligase engagers panel and an azide variant of 7 rapidly generated bispecific nanomolar degraders of ERα, with PROTACs 18 and 21 inhibiting ER+ MCF7 tumor growth in a mouse xenograft model of breast cancer. This study validates this approach toward identifying novel bispecific degrader leads from DECL screening with minimal optimization.
- Published
- 2021
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