Modeling Approaches Reveal New Regulatory Networks in Aspergillus fumigatus Metabolism

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F20%3A00073533" target="_blank" >RIV/00159816:_____/20:00073533 - isvavai.cz</a>

Alternative codes found

RIV/00023736:_____/20:00013042

Result on the web

<a href="https://www.mdpi.com/2309-608X/6/3/108" target="_blank" >https://www.mdpi.com/2309-608X/6/3/108</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/jof6030108" target="_blank" >10.3390/jof6030108</a>

Result language

angličtina

Original language name

Modeling Approaches Reveal New Regulatory Networks in Aspergillus fumigatus Metabolism

Original language description

Systems biology approaches are extensively used to model and reverse-engineer gene regulatory networks from experimental data. Indoleamine 2,3-dioxygenases (IDOs)-belonging in the heme dioxygenase family-degrade l-tryptophan to kynurenines. These enzymes are also responsible for the de novo synthesis of nicotinamide adenine dinucleotide (NAD+). As such, they are expressed by a variety of species, including fungi. Interestingly, Aspergillus may degrade l-tryptophan not only via IDO but also via alternative pathways. Deciphering the molecular interactions regulating tryptophan metabolism is particularly critical for novel drug target discovery designed to control pathogen determinants in invasive infections. Using continuous time Bayesian networks over a time-course gene expression dataset, we inferred the global regulatory network controlling l-tryptophan metabolism. The method unravels a possible novel approach to target fungal virulence factors during infection. Furthermore, this study represents the first application of continuous-time Bayesian networks as a gene network reconstruction method in Aspergillus metabolism. The experiment showed that the applied computational approach may improve the understanding of metabolic networks over traditional pathways.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10606 - Microbiology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

JOURNAL OF FUNGI

ISSN

2309-608X

e-ISSN

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Volume of the periodical

6

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

9

Pages from-to

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UT code for WoS article

000581731400001

EID of the result in the Scopus database

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