Genome-scale metabolic models consistently predict <i>in vitro</i> characteristics of <i>Corynebacterium striatum</i>.

Bäuerle, Famke; Döbel, Gwendolyn O; Camus, Laura; Heilbronner, Simon; Dräger, Andreas

Genome-scale metabolic models consistently predict in vitro characteristics of Corynebacterium striatum.

Bäuerle, Famke; Döbel, Gwendolyn O; Camus, Laura; Heilbronner, Simon; Dräger, Andreas.

Afiliação

Bäuerle F; Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Tübingen, Germany.
Döbel GO; Interfaculty Institute of Microbiology and Infection Medicine Tübingen (IMIT), Eberhard Karl University of Tübingen, Tübingen, Germany.
Camus L; Department of Computer Science, Eberhard Karl University of Tübingen, Tübingen, Germany.
Heilbronner S; Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Tübingen, Germany.
Dräger A; Department of Computer Science, Eberhard Karl University of Tübingen, Tübingen, Germany.

Front Bioinform ; 3: 1214074, 2023.

Article em En | MEDLINE | ID: mdl-37936955

Palavras-chave

Corynebacterium striatum; genome-scale metabolic models; model-driven discovery; opportunistic pathogen; software engineering; strain-specific model

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article