Building AI for Multiscale Biology: From Molecules to Whole Cells
Mapping an entire living cell requires combining data and models across many biological scales. No single experiment or computational method can capture its full molecular complexity.
Join Andrej Sali, Professor in the Departments of Bioengineering and Therapeutic Sciences and Pharmaceutical Chemistry at UCSF, to explore how integrative structural biology brings together experimental data, prior knowledge, and computational models and how metamodeling could help build a unified representation of a whole cell across space and time.
What you’ll learn
- How integrative modeling combines diverse experimental data and prior knowledge to represent large, dynamic macromolecular assemblies
- How researchers compute, evaluate, and validate models when no single data source provides a complete picture
- Why community repositories and common standards are essential for sharing complex biological structures
- How metamodeling could connect models across molecular, cellular, spatial, and temporal scales
Who should attend
This webinar is designed for structural, computational, and cell biologists, bioinformaticians, scientific AI researchers, and R&D teams in academia and industry working with biological data, molecular modeling, or multiscale simulation.
Our speakers
