2025
Metalic: Meta-Learning In-Context with Protein Language Models
ICLR 2025poster
Predicting the biophysical and functional properties of proteins is essential for in silico protein design. Machine learning has emerged as a promising technique for such prediction tasks. However, the relative scarcity of in vitro annotations means that these models often have little, or no, specif…