Xianliang Liu

This paper introduces ProtHMSO, a heuristic multi-site optimization framework using masked protein language models to design functional protein sequences more efficiently than existing methods.

PrefixProt uses prefix tuning to design proteins with controllable properties, outperforming other methods in efficiency and multi-objective control.

This paper introduces Enhancer-GAN, a GAN-based method for generating high-activity enhancer sequences, showing improved activity compared to benchmark datasets and identifying new motifs.