Metabolic flux analysis for metabolome data validation of naturally xylose-fermenting yeasts.

Henrique C T VerasChristiane G CamposIgor F NascimentoPatrícia V AbdelnurJoão R M AlmeidaNádia Skorupa Parachin

Published in: BMC biotechnology (2019)

This study demonstrated a novel strategy for metabolome data validation and brought insights about naturally xylose-fermenting yeasts. S. stipitis and S. passalidarum showed respectively three and twice higher flux rates of XR with NADH cofactor, reducing the xylitol production when compared to S. arborariae. Besides then, the higher flux rates directed to pentose phosphate pathway (PPP) and glycolysis pathways resulted in better ethanol production in S. stipitis and S. passalidarum when compared to S. arborariae.

Keyphrases

saccharomyces cerevisiae
electronic health record
big data
data analysis
machine learning
artificial intelligence