Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilis.

ABSTRACT:

Background

Elucidating cellular metabolism led to many breakthroughs in biotechnology, synthetic biology, and health sciences. To date, deriving metabolic fluxes by ¹³C tracer experiments is the most prominent approach for studying metabolic fluxes quantitatively, often with high accuracy and precision. However, the technique has a high demand for experimental resources. Alternatively, flux balance analysis (FBA) has been employed to estimate metabolic fluxes without labeling experiments. It is less informative but can benefit from the low costs and low experimental efforts and gain flux estimates in experimentally difficult conditions. Methods to integrate relevant experimental data have been emerged to improve FBA flux estimations. Data from transcription profiling is

SUBMITTER: Thanamit K 

PROVIDER: S-EPMC9188260 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature