Disruption of β-Catenin/B-Cell Lymphoma 9 Protein–Protein Interaction Using Heterogeneous Peptidomimetic Foldamers
Aberrant activation of the Wnt/β-catenin-signaling pathway is closely linked to the development and progression of colorectal cancer (CRC) and other malignancies. Targeting and inhibiting this pathway has proved to be a promising approach for the development of antitumor drugs. In this study, we designed and synthesized a series of helical 1:1 α/sulfonyl-γ-AApeptide inhibitors aiming to disrupt the interaction between β-catenin and BCL9. Circular dichroism spectroscopy and modeling studies suggest that these 1:1 α/sulfonyl-γ-AApeptides adopt a right-handed helical conformation and effectively mimic the crucial side chains of BCL9, with the most potent compound exhibiting nanomolar affinity for β-catenin. Notably, these peptidomimetics possess excellent permeability, allowing them to penetrate CRC cancer cells, downregulate Wnt target genes, disrupt the cellular β-catenin/BCL9 protein-protein interaction (PPI), and significantly reduce the proliferation of Wnt-hyperactive cell lines. Furthermore, these hybrid peptidomimetics demonstrate enhanced serum stability, which augments their potential as therapeutic agents for future applications. In addition, this study paves a new way to modulate a myriad of PPIs.
Authors
- Jiacheng Wei (ORCID: https://orcid.org/0000-0002-7863-1422)
- Jianfeng Cai (ORCID: https://orcid.org/0000-0003-3106-3306)
- Peng Sang (ORCID: https://orcid.org/0000-0002-8336-4533)
- Jian Shang
- Jian Zhang (ORCID: https://orcid.org/0000-0002-6558-791X)
- Qingqing Li (ORCID: https://orcid.org/0000-0002-3166-3195)
- Yan Shi (ORCID: https://orcid.org/0000-0002-4086-6103)
- Baoguo Li (ORCID: https://orcid.org/0000-0002-2516-498X)
- Ming Wu (ORCID: https://orcid.org/0000-0002-7651-947X)
Institutions
- Academy of Medical Sciences (GB)
- Shanghai Jiao Tong University (CN)
- University of South Florida (US)
- Zhengzhou University (CN)
- Key Laboratory of Guangdong Province (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
- Tohoku Medical and Pharmaceutical University (JP)
Publication Details
- Journal
- Journal of the American Chemical Society
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1021/jacs.5c14279
- Citations
- 1
- Primary Topic
- Chemical Synthesis and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.81