Hojung Nam

This paper introduces LLAMP, an AI model that predicts antimicrobial peptide activity against specific species, identifying key amino acid residues for antibiotic development.

This paper introduces a Transformer model called G2PT to predict metabolic traits from genetic variants and shows it outperforms existing methods across populations.

The paper integrates ChIP-exo and RNA-seq data to identify Cra's binding sites and regulon genes in E. coli, revealing its role in optimizing growth on poor carbon sources through metabolic regulation.

RePlow improves low-VAF somatic mutation detection by using technical replicates, reducing false positives by up to 99%.