Chunhao Gu

This paper introduces TRAEV, a computational framework to predict the evolutionary robustness of metabolic traits in microbial cells, validated using yeast strains in controlled environments.

ActSeekN improves enzyme function annotation by using structural motifs from AlphaFold and UniProt data, outperforming existing methods in yeast, human, and Trichoderma reesei proteomes.

This study investigates how Darwinian selection affects engineered traits in yeast by evolving strains with pigment production pathways under different carbon sources.