Harnessing Generative AI and SVDD-Guided Diffusion Models for Enhanced Developability of IgG Antibodies
Time: 10:00 am
day: Conference Day One
Details:
- Utilized generative AI with SVDD-guided discrete diffusion modeling to design IgG antibodies optimized for key developability properties
- Employed internal predictive models to guide antibody engineering toward improved physical and biochemical characteristics
- Experimentally validated the developability enhancements of engineered antibody variants through laboratory assays. Established an integrated workflow combining in silico design and experimental testing to accelerate next-generation biologics development
