Wei E. Huang

The paper models the efficiency of rhodopsin-augmented CO2-to-biomass conversion in Cupriavidus necator, finding light benefits depend on pathway and reactor conditions.

This study uses AI to design novel microbial rhodopsins that absorb blue light and enhance bacterial growth.

This paper develops a modular antimicrobial platform using engineered SimCells and mini-SimCells to selectively eliminate E. coli with high specificity and efficiency.

This paper builds a proteome-constrained metabolic model for Sus scrofa muscle stem cells to simulate their growth and metabolism under varying lactate and ammonium conditions, aiding in cultured meat production optimization.

This study optimizes a genome editing system for Cupriavidus necator H16, achieving high editing efficiency using an improved SIBR-Cas system.

VirusDIP integrates and provides access to global viral sequence data for analysis and research.

The paper develops an aspirin-inducible gene circuit in E. coli and SimCells, showing dose-dependent induction and competitive binding of SalR variants.