Probabilistic model by Bayesian network for the prediction of antibody glycosylation in perfusion and fed-batch cell cultures.

Zhang, Liang; Wang, MingLiang; Castan, Andreas; Hjalmarsson, Håkan; Chotteau, Veronique

Zhang, Liang; Wang, MingLiang; Castan, Andreas; Hjalmarsson, Håkan; Chotteau, Veronique.

Afiliação

Zhang L; Department of Industrial Biotechnology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.
Wang M; AdBIOPRO, VINNOVA Competence Centre for Advanced Bioproduction by Continuous Processing, KTH Royal Institute of Technology, Stockholm, Sweden.
Castan A; AdBIOPRO, VINNOVA Competence Centre for Advanced Bioproduction by Continuous Processing, KTH Royal Institute of Technology, Stockholm, Sweden.
Hjalmarsson H; Division of Decision and Control System, School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Chotteau V; Cytiva, Uppsala, Sweden.

Biotechnol Bioeng ; 118(9): 3447-3459, 2021 09.

Article em En | MEDLINE | ID: mdl-33788254

Assuntos

Anticorpos Monoclonais/biossíntese; Técnicas de Cultura Celular por Lotes; Modelos Biológicos; Animais; Células CHO; Cricetulus; Glicosilação

Palavras-chave

Bayesian network; Chinese hamster ovary cells; glycosylation; mathematical modelling; monoclonal antibodies

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas de Cultura Celular por Lotes / Modelos Biológicos / Anticorpos Monoclonais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Biotechnol Bioeng Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suécia

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