PERISCOPE-Opt: Machine learning-based prediction of optimal fermentation conditions and yields of recombinant periplasmic protein expressed in Escherichia coli

Optimization of the fermentation process for recombinant protein production (RPP) is often resource-intensive. Machine learning (ML) approaches are helpful in minimizing the experimentations and find vast applications in RPP. However, these ML-based tools primarily focus on features with respect to...

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Detalles Bibliográficos
Autores principales: Packiam, Kulandai Arockia Rajesh, Ooi, Chien Wei, Li, Fuyi, Mei, Shutao, Tey, Beng Ti, Ong, Huey Fang, Song, Jiangning, Ramanan, Ramakrishnan Nagasundara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201004/
https://www.ncbi.nlm.nih.gov/pubmed/35765650
http://dx.doi.org/10.1016/j.csbj.2022.06.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201004/
https://www.ncbi.nlm.nih.gov/pubmed/35765650
http://dx.doi.org/10.1016/j.csbj.2022.06.006

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