Molecular docking-aided identification of small molecule inhibitors targeting β-catenin-TCF4 interaction
Joo-Leng Low,
Weina Du,
Tenzin Gocha,
Gokce Oguz,
Xiaoqian Zhang,
Ming Wei Chen,
Srdan Masirevic,
Daniel Guo Rong Yim,
Iain Bee Huat Tan,
Adaikalavan Ramasamy,
Hao Fan,
Ramanuj DasGupta
Affiliations
Joo-Leng Low
Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore
Weina Du
Structure-Based Ligand Discovery and Design, Bioinformatics Institute, Agency for Science, Technology and Research (A∗STAR), Singapore 138671, Singapore
Tenzin Gocha
Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore
Gokce Oguz
Bioinformatics Consulting and Training Platform, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore
Xiaoqian Zhang
Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore
Ming Wei Chen
Biomolecular Interactions Platform, School of Biological Sciences, Nanyang Technological University (NTU), Singapore 637551, Singapore
Srdan Masirevic
Structure-Based Ligand Discovery and Design, Bioinformatics Institute, Agency for Science, Technology and Research (A∗STAR), Singapore 138671, Singapore
Daniel Guo Rong Yim
Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore
Iain Bee Huat Tan
Division of Medical Oncology, National Cancer Centre Singapore (NCCS), Singapore 169610, Singapore; Laboratory of Applied Cancer Genomics, Genome Institute of Singapore, Singapore 138672, Singapore; Duke-NUS Graduate Medical School, Singapore 169857, Singapore
Adaikalavan Ramasamy
Bioinformatics Consulting and Training Platform, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore
Hao Fan
Structure-Based Ligand Discovery and Design, Bioinformatics Institute, Agency for Science, Technology and Research (A∗STAR), Singapore 138671, Singapore; Corresponding author
Ramanuj DasGupta
Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore; Corresponding author
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.