Evaluating the Significance of Embedding-Based Protein Sequence Alignment with Clustering and Double Dynamic Programming for Remote Homology
Robert Spicer, Nilanjana Raychawdhary, Shivaram Danwada, Priscilla Udomprasert, Cheryl Seals, Sutanu Bhattacharya
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.
Scientific Reports · Nov 12, 2025Peer-reviewedBioinformatics