Extracting Knowledge Priors from Scientific Texts for De Novo Molecular Design

This talk will explore a large-scale effort to exploit the natural-language understanding capabilities of large language models in order to unlock information about the structure, function, and biological activity for proteins, small molecules, genetic variants, and other biological entities of interest.

Register Now