In this proposal, we want to analyses of genome-scale metabolic networks for the overproduction of Lactate by engineered S. cerevisiae.
The Biological Design Automation Framework that we want to design and use is constitutes by I) pre-processing algorithms (sensitivity analysis of the model(s) and characterization of the medium/media), II) constrained multi-objective optimization (the nominal design), and III) post-processing (design-for-yield and design-for-manufacturability).
l link to the call for PhDs 2023/24 (39th cycle):
https://www.unict.it/it/didattica/dottorati-di-ricerca/ingegneria-dei-sistemi-energetica-informatica-e-delle-5
https://www.unict.it/sites/default/files/ds_altri_documenti/en_1814_2023.pdf
deadline: June 6 for applications from foreign student
Overproduction of Lactate by engineered S. cerevisiae
Abstract
Keywords
artificial intelligence
Synthetic Biology
ERC sector(s)
PE Physical Sciences and Engineering
Name supervisor
Giuseppe Nicosia
E-mail
giuseppe.nicosia@unict.it
Name of Department/Faculty/School
Department of Biomedical & Biotechnological Sciences
Name of the host University
University of Catania (UNICT)
EUNICE partner e-mail of destination Research
leonardo.mirabella@studium.unict.it
Country
Italy
Thesis level
PhD
Minimal language knowledge requisite
English C1
Thesis mode
Hybrid
Start date
Length of the research internship
Other
Financial support available (other than E+)
Maybe