Leveraging a large language model to predict protein phase transition: a physical, multiscale and interpretable approach
M. Frank, P. Ni, M. Jensen, M. B. Gerstein
This paper fine-tunes a large language model to predict protein phase transitions from sequence data and shows its utility in assessing sequence variants' effects on aggregation and droplet formation.
bioRxiv · Nov 21, 2023 · PreprintBiophysics