Application of recurrent neural network for online prediction of cell density of recombinant Pichia pastoris producing HBsAg-Reference-Cited by-同舟云学术

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Application of recurrent neural network for online prediction of cell density of recombinant Pichia pastoris producing HBsAg

Published:2019-02 Issue:4 Volume:49 Page:352-359
ISSN:1082-6068
Container-title:Preparative Biochemistry and Biotechnology
language:en
Short-container-title:Preparative Biochemistry and Biotechnology

Author:

Beiroti Ahmad¹,Aghasadeghi Mohammad Reza²^ORCID,Hosseini Seyed Nezamedin¹^ORCID,Norouzian Dariush³^ORCID

Affiliation:

1. Department of Recombinant Hepatitis B Vaccine, Pasteur Institute of Iran, Tehran, Iran;

2. Department of Hepatitis and AIDS, Pasteur Institute of Iran, Tehran, Iran;

3. Department of Pilot Nano-Biotechnology, Pasteur Institute of Iran, Tehran, Iran

Publisher

Informa UK Limited

Subject

General Medicine,Biochemistry,Biotechnology

Link

https://www.tandfonline.com/doi/pdf/10.1080/10826068.2019.1566153

Reference69 articles.

1. Recombinant protein production in bacterial hosts

2. Advances in recombinant protein expression for use in pharmaceutical research

3. Heterologous protein production using thePichia pastoris expression system

4. Recombinant protein expression for therapeutic applications

5. ModelingPichia pastoris growth on methanol and optimizing the production of a recombinant protein, the heavy-chain fragment C of botulinum neurotoxin, serotype A

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