Molecular docking-aided identification of small molecule inhibitors targeting β-catenin-TCF4 interaction

Autor: Gokce Oguz, Srdan Masirevic, Gocha Tenzin, Xiaoqian Zhang, Ramanuj DasGupta, Hao Fan, Joo-Leng Low, Ming Wei Chen, Weina Du, Daniel Guo Rong Yim, Iain Beehuat Tan, Adaikalavan Ramasamy
Přispěvatelé: School of Biological Sciences, BioSciences Research Centre
Rok vydání: 2021
Předmět:
Zdroj: iScience, Vol 24, Iss 6, Pp 102544-(2021)
iScience
ISSN: 2589-0042
DOI: 10.1016/j.isci.2021.102544
Popis: Summary Here we report a molecular docking-based approach to identify small molecules that can target the β-catenin (β-cat)-TCF4 protein-protein interaction (PPI), a key effector complex for nuclear Wnt signaling activity. Specifically, we developed and optimized a computational model of β-cat using publicly available β-cat protein crystal structures, and existing β-cat-TCF4 interaction inhibitors as the training set. Using our computational model to an in silico screen predicted 27 compounds as good binders to β-cat, of which 3 were identified to be effective against a Wnt-responsive luciferase reporter. In vitro functional validation experiments revealed GB1874 as an inhibitor of the Wnt pathway that targets the β-cat-TCF4 PPI. GB1874 also affected the proliferation and stemness of Wnt-addicted colorectal cancer (CRC) cells in vitro. Encouragingly, GB1874 inhibited the growth of CRC tumor xenografts in vivo, thus demonstrating its potential for further development into therapeutics against Wnt-associated cancer indications.
Graphical abstract
Highlights • A computational docking model for β-catenin was developed and optimized. • The model was trained using protein crystal structures and known inhibitor compounds. • Compound GB1874 was identified by in silico screening and functionally validated. • GB1874 inhibited colon cancer growth in vitro and in vivo by blocking Wnt activity.
Pharmacology; Biochemistry; Structural biology; Cancer; Omics
Databáze: OpenAIRE