Topic: protein design

Natural proteins solve problems shaped by evolution. David Baker describes a different approach: designing proteins from scratch to meet current challenges in health, technology and sustainability. His laboratory develops deep-learning methods that generate proteins with new functions, synthesizes genes encoding the designs, and experimentally characterizes the resulting molecules. The lecture explains how this design-build-test approach extends beyond modifying existing natural proteins and presents applications of computational protein design to contemporary problems. Online via the Royal S

This EMBO workshop covers emerging chemical-biology research spanning computational protein design, big data and AI, technologies for probing and manipulating biology, chemical synthetic biology, and RNA.

Life of biological molecules spans time and length scales relevant at atomic to cellular time and length scales. Hence, novel molecular modeling approaches are required to be inherently multi-scale. Here we describe multiple methodologies developed in our laboratory: rapid discrete molecular dynamics simulation algorithm, protein design and structural refinement tools. Using these methodologies, we describe therapeutic strategies to combat this HIV and cancer, as well as design novel approaches for controlling proteins in living cells and organisms.