Wnt signalling is an evolutionarily conserved pathway found across all animal phyla. It spatially organizes multicellular organisms during embryonic development, driving cell polarization, cell fate, and regulating cell proliferation and migration. Its critical role in cellular growth and development makes aberrant Wnt activation a significant driver of many cancers. Despite its therapeutic potential, developing selective Wnt inhibitors remains challenging.
Advances in artificial intelligence (AI) offers innovative opportunities to discover novel molecular binders that target the Wnt pathway. This project will leverage AI driven approaches to design molecular binders against the Wnt signalling pathway. Our methodology will combine in silico design of binders with subsequent experimental validation through functional assays and structural biology techniques.