Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
January 25, 2023
Abstract
Recorded 25 January 2023. Kyunghyun Cho of New York University presents "Lab-in-the-loop de novo antibody design - what are we missing from machine learning?" at IPAM's Learning and Emergence in Molecular Systems Workshop.
Abstract: In this talk, I will give an overview of what we do at Prescient Design by introducing the concept of lab-in-the-loop de novo antibody design with particular emphasis on its computational side. I will then deconstruct the computational side of lab-in-the-loop design into three major components; generative modeling, computational oracles and active learning. I will then go over why each component is necessary, how each component still requires significant scientific research and what Prescient Design is doing to address these challenges.
Learn more online at: http://www.ipam.ucla.edu/programs/workshops/learning-and-emergence-in-molecular-systems/