Pseudomonas putida use case
OverviewUse case of Pseudomonas putida
Programme: Bioindustry 4.0
SEEK ID: https://ibisbahub.eu/projects/96
Public web page: https://www.bioindustry4.eu/
Organisms: Pseudomonas putida
IBISBA PALs: No PALs for this Project
Project start date: 1st Feb 2023
Project end date: 31st Dec 2026
TagsRelated items
Projects: Pseudomonas putida use case
Institutions: WUR - Wageningen University & Research
Head Chair of Systems & Synthetic Biology
Projects: Industrial-scale penicillin simulation, Sandbox, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, IBISBA-DIALS WP3, BIOREM, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, IBISBA-ERIC, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models
Institutions: WUR - Wageningen University & Research, INRAE
https://orcid.org/0000-0002-5873-9815
Postdoctoral Researcher Laboratory of Systems and Synthetic Biology at Wageningen University & Research (WUR) working on Digital Twins, Data Fabrics, and research data management.
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Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research infrastructure. These will address several challenges, focusing on the acceleration of bioprocess development pipelines. ...
Projects: Industrial-scale penicillin simulation, Scorpion antivenom nanobody production in Escherichia coli (Recombinant bispecific VHH), Production of the monoclonal antibody Trastuzumab in Komagataella phaffii (Pichia pastoris) for breast cancer treatment, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, Saccharomyces cerevisiae, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models
Web page: https://www.bioindustry4.eu
ROR ID: Not specified
Department: Not specified
Country: 
Netherlands
City: Wageningen
Web page: https://www.wur.nl
