Lab-in-the-Loop De Novo Antibody Design - What Are We Missing From Machine Learning?

Explore the concept of lab-in-the-loop de novo antibody design in this comprehensive lecture presented by Kyunghyun Cho from New York University at IPAM's Learning and Emergence in Molecular Systems Workshop. Gain insights into the computational aspects of this innovative approach, focusing on three key components: generative modeling, computational oracles, and active learning. Discover the importance of each component in the design process and learn about the ongoing scientific research challenges in this field. Understand how Prescient Design is addressing these challenges and advancing the field of antibody design through machine learning techniques.