Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response.

Zorzan, Irene; Del Favero, Simone; Giaretta, Alberto; Manganelli, Riccardo; Di Camillo, Barbara; Schenato, Luca

Zorzan, Irene; Del Favero, Simone; Giaretta, Alberto; Manganelli, Riccardo; Di Camillo, Barbara; Schenato, Luca.

Afiliación

Zorzan I; Department of Information Engineering, University of Padova, 35131, Padova, Italy. irene.zorzan@unipd.it.
Del Favero S; Department of Information Engineering, University of Padova, 35131, Padova, Italy.
Giaretta A; Department of Information Engineering, University of Padova, 35131, Padova, Italy.
Manganelli R; Department of Molecular Medicine, University of Padova, 35121, Padova, Italy.
Di Camillo B; Department of Information Engineering, University of Padova, 35131, Padova, Italy.
Schenato L; Department of Comparative Biomedicine and Food Science, University of Padova, 35020, Legnaro (Padova), Italy.

BMC Bioinformatics ; 22(1): 558, 2021 Nov 19.

Article en En | MEDLINE | ID: mdl-34798803

Asunto(s)

Proteínas Bacterianas; Mycobacterium tuberculosis; Respuesta al Choque Térmico; Modelos Teóricos; Mycobacterium tuberculosis/genética; Factor sigma

Palabras clave

Bacterial persistence; Bistability; Mathematical modelling

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Mycobacterium tuberculosis Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Italia

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