Model training, parameter estimation

Version 2

The MycoSynVac project AIMS at using cutting-edge synthetic biology methodologies to engineer Mycoplasma pneumoniae as a universal chassis for vaccination.
Designing a universal Mycoplasma chassis that can be deployed as single- or multi-vaccine in a range of animal hosts. Annually, infections caused by Mycoplasma species in poultry, cows, and pigs result in multimillion Euro losses in the USA and Europe.
There is no effective vaccination against many Mycoplasmas that infect pets, humans and farm
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1. To develop a whole-cell dynamic model framework of the metabolism of M. pneumoniae
2. To build upon M. pneumoniae models to develop a genome-scale, constraint-based model of M.
hyopneumoniae for vaccine optimization
3. To deploy the metabolic model(s) to: 1) the rational design and optimization of the vaccine chassis; 2)
aid the development of a higher-growth rate chassis; 3) assist the development of a nutrient optimized a
serum-free growth medium and; 4) assess, at genome scale, the metabolic
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Training of the core model, parameter estimation using Evolutionary Programming using metabolomics, proteomics and some flux data.
The core model contains reactions in glycolysis, pyruvate metabolism and ATPase

Training of the model, parameter estimation using Evolutionary Programming using metabolomics, proteomics and some flux data.