Fanglei Xue
Post-Doctorate, Baker Lab University of Washington
Fanglei Xue is a postdoc in the lab of David Baker at the University of Washington. His research focuses on developing machine intelligence models to improve the success rate of protein design, advancing computational approaches for designing functional proteins. His work sits at the intersection of artificial intelligence and protein engineering, with the goal of enabling more reliable and scalable design of novel proteins for biomedical and biotechnological applications.
Seminars
Wednesday 26th August 2026
Bridging the Gap: High-Success-Rate AI Protein Design via Preference Optimization & Wet-Lab Validation
10:00 am
- Optimized AI generation achieves higher hit rates, nearly tripling computational design success and drastically slashing early-stage trial-and-error costs
- Wet-lab results confirm that our AI-designed sequences successfully fold and exhibit real catalytic activity, providing validated functional enzymes
- Sequence optimization significantly boosts antibody expression, thus improving production yields and directly derisking downstream manufacturing bottlenecks
