Your browser doesn't support javascript.
loading
Molecular docking-aided identification of small molecule inhibitors targeting ß-catenin-TCF4 interaction.
Low, Joo-Leng; Du, Weina; Gocha, Tenzin; Oguz, Gokce; Zhang, Xiaoqian; Chen, Ming Wei; Masirevic, Srdan; Yim, Daniel Guo Rong; Tan, Iain Bee Huat; Ramasamy, Adaikalavan; Fan, Hao; DasGupta, Ramanuj.
Afiliação
  • Low JL; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore.
  • Du W; Structure-Based Ligand Discovery and Design, Bioinformatics Institute, Agency for Science, Technology and Research (A∗STAR), Singapore 138671, Singapore.
  • Gocha T; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore.
  • Oguz G; Bioinformatics Consulting and Training Platform, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore.
  • Zhang X; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore.
  • Chen MW; Biomolecular Interactions Platform, School of Biological Sciences, Nanyang Technological University (NTU), Singapore 637551, Singapore.
  • Masirevic S; Structure-Based Ligand Discovery and Design, Bioinformatics Institute, Agency for Science, Technology and Research (A∗STAR), Singapore 138671, Singapore.
  • Yim DGR; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore.
  • Tan IBH; Division of Medical Oncology, National Cancer Centre Singapore (NCCS), Singapore 169610, Singapore.
  • Ramasamy A; Laboratory of Applied Cancer Genomics, Genome Institute of Singapore, Singapore 138672, Singapore.
  • Fan H; Duke-NUS Graduate Medical School, Singapore 169857, Singapore.
  • DasGupta R; Bioinformatics Consulting and Training Platform, Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Singapore.
iScience ; 24(6): 102544, 2021 Jun 25.
Article em En | MEDLINE | ID: mdl-34142050
ABSTRACT
Here we report a molecular docking-based approach to identify small molecules that can target the ß-catenin (ß-cat)-TCF4 protein-protein interaction (PPI), a key effector complex for nuclear Wnt signaling activity. Specifically, we developed and optimized a computational model of ß-cat using publicly available ß-cat protein crystal structures, and existing ß-cat-TCF4 interaction inhibitors as the training set. Using our computational model to an in silico screen predicted 27 compounds as good binders to ß-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 ß-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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IScience Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IScience Ano de publicação: 2021 Tipo de documento: Article