Optimization of bioprocess productivity based on metabolic-genetic network models with bilevel dynamic programming-Reference-Cited by-同舟云学术

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Optimization of bioprocess productivity based on metabolic-genetic network models with bilevel dynamic programming

Published:2018-04-10 Issue:7 Volume:115 Page:1829-1841
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotechnol. Bioeng.

Author:

Jabarivelisdeh Banafsheh¹²³,Waldherr Steffen³^ORCID

Affiliation:

1. International Max Planck Research School (IMPRS) for Advanced Methods in Process and System Engineering Magdeburg; Magdeburg Germany

2. Institute for Automation Engineering; Center for Dynamical Systems; Magdeburg Saxony-Anhalt Germany

3. KU Leuven; Department of Chemical Engineering; Leuven Belgium

Funder

European Regional Development Fund

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference37 articles.

1. Dynamic metabolic engineering for increasing bioprocess productivity;Anesiadis;Metabolic Engineering,2008

2. Analysis and design of a genetic circuit for dynamic metabolic engineering;Anesiadis;ACS Synthetic Biology,2013

3. An overview of simultaneous strategies for dynamic optimization;Biegler;Chemical Engineering and Processing,2007

4. Dynamic knockdown of E. coli central metabolism for redirecting fluxes of primary metabolites;Brockman;Metabolic Engineering,2015

5. Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization;Burgard;Biotechnology and Bioengineering,2003

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