A5079689657- Microbial Metabolic Engineering and Bioproduction
- Biofuel production and bioconversion
- Gene Regulatory Network Analysis
- Lipid metabolism and biosynthesis
- Viral Infections and Vectors
- Fungal and yeast genetics research
- Bioinformatics and Genomic Networks
- Viral gastroenteritis research and epidemiology
- Enzyme Catalysis and Immobilization
- Viral Infections and Outbreaks Research
University of Wisconsin–Madison
2016-2018
Great Lakes Bioenergy Research Center
2016-2018
The inability of native Saccharomyces cerevisiae to convert xylose from plant biomass into biofuels remains a major challenge for the production renewable bioenergy. Despite extensive knowledge regulatory networks controlling carbon metabolism in yeast, little is known about how reprogram S. ferment at rates comparable glucose. Here we combined genome sequencing, proteomic profiling, and metabolomic analyses identify characterize responsible mutations series evolved strains capable...
Abstract Motivation Transcriptomics and proteomics data have been integrated into constraint-based models to influence flux predictions. However, it has reported recently for Escherichia coli Saccharomyces cerevisiae, that model predictions from parsimonious balance analysis (pFBA), which does not use expression data, are as good or better than various algorithms integrate transcriptomics models. Results In this paper, we describe a novel method called Linear Bound Flux Balance Analysis...