Zhitao Mao

SynBioGPT v2.0 improves synthetic biology strain design by using query decomposition and keyword-based retrieval to enhance accuracy over its previous version.

This paper introduces a computational framework, AdaptUC, to predict metabolic engineering strategies for microbial adaptation to unadapted carbon sources, showing improved driving forces and reduced substrate requirements in case studies.

This paper identifies prediction anomalies in a constraint-based metabolic model by incorporating enzyme compartmentalization, improving pathway structure accuracy and resolving constraint conflicts.

This paper introduces a method that integrates enzymatic and thermodynamic constraints into genome-scale metabolic models to improve pathway prediction accuracy.