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

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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Bibliographic Details
Main Authors: Kulandai Arockia Rajesh Packiam, Chien Wei Ooi, Fuyi Li, Shutao Mei, Beng Ti Tey, Huey Fang Ong, Jiangning Song, Ramakrishnan Nagasundara Ramanan
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Optimization
Machine learning
Recombinant protein production
Periplasmic expression
Prediction model
Escherichia coli
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022002203

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http://www.sciencedirect.com/science/article/pii/S2001037022002203

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