Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective.
Journal
NPJ systems biology and applications
ISSN: 2056-7189
Titre abrégé: NPJ Syst Biol Appl
Pays: England
ID NLM: 101677786
Informations de publication
Date de publication:
13 03 2020
13 03 2020
Historique:
received:
10
10
2019
accepted:
12
02
2020
entrez:
15
3
2020
pubmed:
15
3
2020
medline:
22
9
2020
Statut:
epublish
Résumé
In biotechnology, the emergence of high-throughput technologies challenges the interpretation of large datasets. One way to identify meaningful outcomes impacting process and product attributes from large datasets is using systems biology tools such as metabolic models. However, these tools are still not fully exploited for this purpose in industrial context due to gaps in our knowledge and technical limitations. In this paper, key aspects restraining the routine implementation of these tools are highlighted in three research fields: monitoring, network science and hybrid modeling. Advances in these fields could expand the current state of systems biology applications in biopharmaceutical industry to address existing challenges in bioprocess development and improvement.
Identifiants
pubmed: 32170148
doi: 10.1038/s41540-020-0127-y
pii: 10.1038/s41540-020-0127-y
pmc: PMC7070029
doi:
Substances chimiques
Biological Products
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
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