Tianlai Chen

This study introduces AMP-Diffusion, a generative model for designing antimicrobial peptides, which produces candidates with broad-spectrum antibacterial activity and low toxicity.

This paper introduces ANNA16, a deep learning tool that predicts 16S rRNA gene copy numbers directly from sequence data, outperforming existing methods in accuracy and speed.

AMP-Diffusion generates functional antimicrobial peptides using a latent diffusion model integrated with the ESM-2 protein language model, showing alignment with experimentally validated AMPs in pseudo-perplexity and physicochemical properties.