In silico identification of metabolic engineering strategies for improved lipid production in Yarrowia lipolytica by genome-scale metabolic modeling

Abstract

This study demonstrated that eMOMA is a powerful computational method for understanding and engineering the metabolism of <i>Y. lipolytica</i> and potentially other oleaginous microorganisms.