Explore the words cloud of the StrainBooster project. It provides you a very rough idea of what is the project "StrainBooster" about.
The following table provides information about the project.
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
|Coordinator Country||Germany [DE]|
|Total cost||1˙998˙750 €|
|EC max contribution||1˙998˙750 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2017-05-01 to 2022-04-30|
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|1||MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV||DE (Munich)||coordinator||1˙998˙750.00|
One global challenge of humanity in the 21st century is the shift from a petrochemical to a bio-based production of chemicals and fuels. An enabling technology towards this goal is metabolic engineering which uses computational and experimental methods to construct microbial cell factories with desired properties. While it has been shown that genetically engineered microorganisms can, in principle, produce a broad range of chemicals, novel approaches to improve the performance of those strains are urgently needed to develop economically viable bioprocesses. To this end, we propose a new metabolic design principle to rationally engineer cell factories with high performance. Supported by a recent pilot study, we postulate that suitable genetic interventions combined with mechanisms that burn (waste) an extra amount of ATP (e.g., by artificial futile cycles) will increase product yield and productivity of many microbial production strains. Key objectives of StrainBooster are therefore: (1) to use computational techniques and metabolic models to identify gene knockout strategies whose coupling with ATP wasting mechanisms can boost the performance of microbial strains and to prove in silico that those strategies exist for many combinations of substrates, products, and host organisms; (2) to develop genetic modules that can robustly increase ATP dissipation in the cell; and (3) to experimentally demonstrate the power of the proposed strategy for selected production processes with Escherichia coli. To reach these ambitious goals, an interdisciplinary approach will be pursued combining theoretical and experimental studies and making use of innovative methods from systems and synthetic biology. If successful, StrainBooster will not only establish a new and ground-breaking strategy for metabolic engineering, it will also deliver novel computational tools and genetic parts facilitating direct application of the approach to design and optimize industrial fermentation processes.
|year||authors and title||journal||last update|
Simon Boecker, Ahmed Zahoor, Thorben Schramm, Hannes Link, Steffen Klamt
Broadening the Scope of Enforced ATP Wasting as a Tool for Metabolic Engineering in Escherichia coli
published pages: 1800438, ISSN: 1860-6768, DOI: 10.1002/biot.201800438
|Biotechnology Journal 14/9||2019-11-07|
Philipp Schneider, Steffen Klamt
Characterizing and ranking computed metabolic engineering strategies
published pages: 3063-3072, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty1065
Steffen Klamt, Axel von Kamp, BjÃ¶rn-Johannes Harder
ComputergestÃ¼tztes Design mikrobieller Zellfabriken
published pages: 156-158, ISSN: 0947-0867, DOI: 10.1007/s12268-019-1015-0
Naveen Venayak, Axel von Kamp, Steffen Klamt, Radhakrishnan Mahadevan
MoVE identifies metabolic valves to switch between phenotypic states
published pages: 5332, ISSN: 2041-1723, DOI: 10.1038/s41467-018-07719-4
|Nature Communications 9/1||2019-11-07|
Steffen Klamt, Radhakrishnan Mahadevan, Oliver HÃ¤dicke
When Do Two-Stage Processes Outperform One-Stage Processes?
published pages: 1700539, ISSN: 1860-6768, DOI: 10.1002/biot.201700539
|Biotechnology Journal 13/2||2019-04-18|
Steffen Klamt, Stefan MÃ¼ller, Georg Regensburger, JÃ¼rgen Zanghellini
A mathematical framework for yield ( vs. rate) optimization in constraint-based modeling and applications in metabolic engineering
published pages: 153-169, ISSN: 1096-7176, DOI: 10.1016/j.ymben.2018.02.001
|Metabolic Engineering 47||2019-04-18|
Oliver HÃ¤dicke, Axel von Kamp, Timur Aydogan, Steffen Klamt
OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli
published pages: e1006492, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1006492
|PLOS Computational Biology 14/9||2019-04-18|
BjÃ¶rn-Johannes Harder, Katja Bettenbrock, Steffen Klamt
Temperature-dependent dynamic control of the TCA cycle increases volumetric productivity of itaconic acid production by Escherichia coli
published pages: 156-164, ISSN: 0006-3592, DOI: 10.1002/bit.26446
|Biotechnology and Bioengineering 115/1||2019-04-18|
Axel von Kamp, Sven Thiele, Oliver HÃ¤dicke, Steffen Klamt
Use of CellNetAnalyzer in biotechnology and metabolic engineering
published pages: 221-228, ISSN: 0168-1656, DOI: 10.1016/j.jbiotec.2017.05.001
|Journal of Biotechnology 261||2019-04-18|
Axel von Kamp, Steffen Klamt
Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms
published pages: 15956, ISSN: 2041-1723, DOI: 10.1038/ncomms15956
|Nature Communications 8||2019-04-18|
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