Bigdata analytics identifies metabolic inhibitors and promoters for productivity improvement and optimization of monoclonal antibody (mAb) production process

Bigdata analytics identifies metabolic inhibitors and promoters for productivity improvement and optimization of monoclonal antibody (mAb) production process

Abstract Recent advances in metabolite quantification and identification have enabled new research into the detection and control of titer inhibitors and promoters. This paper presents a bigdata analytics study to identify both inhibitors and promoters using multivariate data analysis of metabolomic...

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Bibliographic Details
Main Authors: Caitlin Morris, Ashli Polanco, Andrew Yongky, Jianlin Xu, Zhuangrong Huang, Jia Zhao, Kevin S. McFarland, Seoyoung Park, Bethanne Warrack, Michael Reily, Michael C. Borys, Zhengjian Li, Seongkyu Yoon
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Bioresources and Bioprocessing
Subjects:
Metabolomics
Multivariate data analysis
Titer improvement
Feed media optimization
Online Access:http://link.springer.com/article/10.1186/s40643-020-00318-6

Internet

http://link.springer.com/article/10.1186/s40643-020-00318-6

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