New Protein Folding Predictions Accelerate Drug Discovery
Researchers at National Yang Ming Chiao Tung University partnered with our team to develop a machine learning model that cuts protein structure prediction time from weeks to hours. The breakthrough came when Dr. Linnea Falk noticed unusual patterns in amino acid interactions that traditional algorithms consistently missed.
What started as a side project analyzing failed predictions turned into something bigger. The model now helps local pharmaceutical companies screen potential drug candidates faster. It's not perfect—some complex proteins still puzzle it—but the time savings are real enough that three labs in Taipei have already integrated it into their workflows.