Computational biology predicts metabolic engineering targets for increased production of 103 valuable chemicals in yeast

• DOI: 10.1073/pnas.2417322122
• Publication Date: 2025-02-25T18:42:51Z
• Authors: Iván Domenzain; Yao Lu; Haoyu Wang; Junling Shi; Hongzhong Lu; Jens Nielsen
• Keywords: Bioproduction; Metabolic Engineering; Synthetic Biology; Rational design

Development of efficient cell factories that can compete with traditional chemical production processes is complex and generally driven by case-specific strategies, based on the product microbial host interest. Despite major advancements in field metabolic modeling recent years, prediction genetic modifications for increased remains challenging. Here, we present a computational pipeline leverages concept protein limitations metabolism optimal combinations gene engineering targets enhanced bioproduction. We used our 103 different chemicals using Saccharomyces cerevisiae as host. Furthermore, identified sets predicted groups multiple chemicals, suggesting possibility rational model-driven design platform strains diversified production.