Siwei He

This study uses yeast large-scale absolute quantitative proteomics to reveal universal principles of protein resource allocation among cellular organelles and its relationship to physiological parameters and species divergence.

StrainOptimizer improves microbial cell factory design by integrating multi-scale metabolic models with expression and proteome constraints, achieving higher bioproduction in yeast.

This paper introduces a distributed large-scale neural network model for yeast transcriptional regulation, capable of predicting dynamic regulatory relationships and identifying key transcription factors.

DeepEnzyme improves kcat prediction using Transformer and GCN with sequence and 3D structure features, showing robustness for low similarity enzymes and mutation impact analysis.