Original paper
Clostridioides difficile 630Δerm in silico and in vivo – quantitative growth and extensive polysaccharide secretion
Abstract
Antibiotic‐associated infections with Clostridioides difficile are a severe and often lethal risk for hospitalized patients, and can also affect populations without these classical risk factors. For a rational design of therapeutical concepts, a better knowledge of the metabolism of the pathogen is crucial. Metabolic modeling can provide a simulation of quantitative growth and usage of metabolic pathways, leading to a deeper understanding of the...
Paper Details
Title
Clostridioides difficile 630Δerm in silico and in vivo – quantitative growth and extensive polysaccharide secretion
Published Date
Mar 9, 2017
Journal
Volume
7
Issue
4
Pages
602 - 615
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Notes
History