Bin Hu

SurfGraphPro predicts protein binding sites by integrating protein language models with geometric deep learning on coarse protein surfaces, achieving faster performance than existing methods.

This paper introduces a protein language model that predicts mutation impacts and lineage classification in viral genomes, offering faster and more accurate functional predictions than traditional methods.

This study evaluates the impact of sequencing technologies and bioinformatic protocols on SARS-CoV-2 variant calling and introduces standardized parameters to improve pipeline consistency.

geNomad identifies and annotates mobile genetic elements in sequencing data, discovering millions of new viruses and plasmids in public metagenomes.