Arjuna M. Subramanian

The paper introduces a method for high-fidelity, multiplexed DNA construction from oligo pools, enabling efficient assembly of multiple defined constructs.

This paper uses protein language models to discover new-to-nature protein domains with structures outside known CATH superfamilies, suggesting natural protein structure-space is incomplete.

This paper shows that protein language models prioritize sequence novelty over structural diversity, leading to a tradeoff in generating realistic protein structures.

Protein CREATE generates and tests synthetic protein binders using a closed-loop computational-experimental pipeline, identifying novel binders and binding features.