Nilanjana Raychawdhary

This study evaluates protein language model embeddings for estimating structural similarity in the protein-sequence twilight zone and finds that ProstT5 performs best.

This study evaluates an embedding-based protein sequence alignment method using clustering and double dynamic programming, showing improved performance in detecting remote homology compared to traditional and state-of-the-art approaches.