Jianxiu Cai

The paper develops BERT-T6, a model using transfer learning on ProtBert embeddings to predict T6SEs with high accuracy and performance metrics.

This paper introduces Diffusion-ACP39, a generative model for anticancer peptide discovery, achieving 94.5% accuracy in generating novel peptides.

ClsDiff-AMP30 generates short antimicrobial peptides with high antimicrobial activity and low toxicity through a classifier-guided diffusion model.