Prediction of non-intuitive metabolic targets with bayesian metabolic control analysis to improve 3-hydroxypropionic acid production in Aspergillus niger

Development of efficient bioconversion processes is limited by the ability to predictably improve metabolic flux. Here we deployed Bayesian Metabolic Control Analysis as a platform to integrate multi-omics data with metabolic modeling and evaluated its ability to predict genetic interventions that i...

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Bibliografische gegevens

Hoofdauteurs:	Ziyu Dai, Jeremy D. Zucker, Yichao Han, Shant Mahserejian, Joseph Cottam, Nathalie Munoz, Yuqian Gao, Guoliang Yuan, Beth A. Hofstad, Jon K. Magnuson, Joonhoon Kim, Young-Mo Kim, Kristin E. Burnum-Johnson, Kyle R. Pomraning
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2026-02-01
Reeks:	Frontiers in Bioengineering and Biotechnology
Onderwerpen:	3HP 3-hydroxypropionic acid Aspergillus niger bayesian metabolic control analysis non-intuitive prediction
Online toegang:	https://www.frontiersin.org/articles/10.3389/fbioe.2026.1754875/full
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