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General description

To facilitate cost reduction during development of industrial biotechnologies we will concentrate on two of information technology applications in systems and synthetic biology: 1) development of quantitative dynamic model (2. activity) and 2) optimization of model (3. activity).

Algorithms will be developed within activities 2 and 3. Algorithms will be iteratively tested making biological and computer experiments solving four different tasks of metabolic engineering (activities 4-7). We hope this approach will change the usual experimental approach from direct search of solution to collection of information for development of quantitative dynamic model and later optimisation of the model to improve the efficiency criteria of solution.

Dynamic features of the model of metabolic network will lead the development of control algorithm of fermentation process in a laboratory scale bioreactor (8. activity). Further impact of the model on the scale-up methodology (9. activity) is expected.

In case of scale-up difficulties (surprises) additional demands for activities 4-7 can be raised thus building another improvement cycle.

Thus dynamic quantitative model becomes an interdisciplinary communication tool which is understandable and meaningful both for specialists of information technology, metabolic engineering and bioengineers.

 
Activity 1 - Management

scientific - Egils Stalidzans, administrative - Janis Melnbards

 
Activity 2 - Algorithm of development of quantitative dynamic model of metabolic network

leader Egils Stalidzans, deputy Valters Brusbardis

 
Activity 3 - Development of algorithm for parameter estimation and optimization of metabolic networks

leader Egils Stalidzans, deputy Ivars Mozga

 
Activity 4 - Zymomonas mobilis aerobic metabolic engineering

leader Uldis Kalnenieks, deputy Reinis Rutkis

 
Activity 5 - Z. mobilis sucrose-containing substrate and the hydrolytic enzymes co-fermentation

leader Armands Vigants, deputy Rita Jonina

 

leader Nils Rostoks, deputy Janis Liepins

 
Activity 7 - Yeast (S. cerevisiae) glicolysis optimization for bio-ethanol obtaining.
 
 
Activity 9 - Biotechnological processes scale-up based on mathematical model

leader - Juris Vanags, deputy - Vytautas Galvanauskas

 


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