Design and Optimization of Biologics Driven by Physics-Based Computational Modeling
Sr Principal Scientist
In this webinar, we will address the important role that computational modeling can play in accelerating the discovery and development of novel biologics. The presentation will highlight recent advances in Schrödinger’s protein modeling capabilities and their application to common protein design problems encountered in real-world projects. Topics covered will include strategies for protein property prediction followed by optimization through engineering. In particular, we will discuss quantitatively accurate prediction of the effects of residue mutations on protein thermal stability and protein-protein binding affinity using FEP+ technology, and the recent developments of the method to further improve accuracy and reliability.