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Computational Systems Medicine Lab (CSML)
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Head - Egils Stalidzans

Phone: +371 29575510 Egils Stalidzans Agris Pentjuss Martins Mednis Ivars Mozga Jurijs Meitalovs



Scientific interests

-         stoichiometric and kinetic modeling and optimisation of metabolism,

-         metabolic reconstructions,

-         modeling of signaling networks,

-         modeling of microbial communities,

-         software development.


2015 – 2018, Systems biology platform for the creation of lean-proteome Esherichia coli strains (LEANPROT), (EraSysApp 2nd call). SILICON platform development (combined genome scale modelling and Single Cell model platform).

2015 – 2018, Control of Engineered Metabolism by Flowering and Temperature Triggered Plant Regulatory Networks (SMARTPLANTS), , (EraSynBio 2nd call). Development of Arabidopsis thaliana stoichiometric genome scale model and isorpenoid pathway kinetic model.

2013-2016 Metabolic engineering of Zymomonas mobilis respiratory chain (536/2012), funded by Latvian Council of Science

2013-2015 ERA–net project on systems biology (
2012-2014 ERA–net project on synthetic biology (

2009 – 2012 European Social Fund project “Establishment of Latvian interdisciplinary interuniversity scientific group of systems biology” within activity „Attraction of Human Resources to Science” (



Elsts, A., Pentjuss, A., Stalidzans, E. (2017) SpaceScanner: COPASI wrapper for automated management of global stochastic optimization experiments. Bioinformatics Vol. 33, p.2966-2967.

Stalidzans, E., Mozga, I., Sulins, J., Zikmanis, P., (2017). Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network. IEEE/ACM Trans. Comput. Biol. Bioinforma. 14, 978–985.

Pentjuss, A., Stalidzans, E., Liepins, J., Kokina, A., Martynova, J., Zikmanis, P., Mozga, I., Scherbaka, R., Hartman, H., Poolman, M.G., Fell, D.A., Vigants, A., (2017). Model-based biotechnological potential analysis of Kluyveromyces marxianus central metabolism. J. Ind. Microbiol. Biotechnol. Vol. 44, p. 1177–1190.



Cvijovic, M., Höfer, T., Aćimović, J., Alberghina, L., Almaas, E., Besozzi, D., Blomberg, A., Bretschneider, T., Cascante, M., Collin, O., de Atauri, P., Depner, C., Dickinson, R., Dobrzynski, M., Fleck, C., Garcia-Ojalvo, J., Gonze, D., Hahn, J., Hess, H., Hollmann, S., Krantz, M., Kummer, U., Lundh, T., Martial, G., dos Santos, V.M., Mauer-Oberthür, A., Regierer, B., Skene, B., Stalidzans, E., Stelling, J., Teusink, B., Workman, C.T., Hohmann, S. (2016) Strategies for structuring interdisciplinary education in Systems Biology: an European perspective. npj Systems Biology and Applications, Vol.2, 16011.


Meitalovs J., Stalidzans E. (2015) Impact of Thermodynamic Constraint to the Solution Space of Metabolic Pathway Design Using sAnalyzer Tool. Baltic Journal of Modern Computing 3(3), pp.164-178


Kalnenieks, U., Pentjuss, A., Rutkis, R., Stalidzans, E., & Fell, D. A. (2014). Modeling of Zymomonas mobilis central metabolism for novel metabolic engineering strategies. Frontiers in Microbiology, 5, 42. doi:10.3389/fmicb.2014.00042

Mozga I., Stalidzans E (2014) Reduction of Combinatorial Space of Adjustable Kinetic Parameters of Biochemical Network Models in Optimisation Task. Baltic Journal of Modern Computing, 2(3), pp.150-159.


Rubina T., Stalidzans E. (2013) BINESA – a software tool for evolution modelling of biochemical networks structure. In Proceedings of IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI), November 19-20, Budapest, Hungarypp.345-350. doi:10.1109/CINTI.2013.6705218

Pentjuss, A., & Kalnenieks, U. (2013). Assessment of Zymomonas mobilis biotechnological potential in ethanol production by flux variability analysis. Biosystems and Information Technology, 3(1), 1–5. doi:10.11592/bit.140502    

Rubina T., Mednis M., Stalidzans E. (2013) Agreement assessment of biochemical pathway models by structural analysis of their intersection. In Proceedings of IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI), November 19-20, Budapest, pp.411-418, doi:10.1109/CINTI.2013.6705232

Rutkis, R., Kalnenieks, U., Stalidzans, E., & Fell, D. A. (2013). Kinetic modeling of Zymomonas mobilis Entner-Doudoroff pathway: insights into control and functionality. Microbiology (Reading, England),  159(Pt 12), 2674–89 , doi:10.1099/mic.0.071340-0

Mednis, M., Vigants A., (2013) Automatic comparison of metabolites names: impact of criteria thresholds. Biosystems and Information technology, 2(1), pp 1-5, doi:10.11592/bit.130501 Full text    

Pentjuss A., Odzina I., Kostromins A., Fell D., Stalidzans E., Kalnenieks U. Biotechnological potential of respiring Zymomonas mobilis: a stoichiometric analysis of its central metabolism, Journal of Biotechnology, Volume 165, 2013, pp 1-10.Full text available at:

Meitalovs, J., & Stalidzans, E. (2013). Connectivity analysis of metabolites in synthetic metabolic pathways. In Proceedings of the 12th International Scientific Conference “Engineering for Rural Development” (pp. 435–440). Jelgava, Latvia.


Stalidzans E., Kostromins A., Sulins J., Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. "13th IEEE International Symposium on Computational Intelligence and Informatics", Budapest, Hungary, 20.-22. November 2012, pp 365-369.Full text available at:

Kostromins A., Mozga I., Stalidzans E. ConvAn: a convergence analyzing tool for optimization of biochemical networks, Biosystems, Volume 108, Issues 1–3, April–June 2012, pp 73-77, ISSN 0303-2647, 10.1016/j.biosystems.2011.12.004.Full text available at:

Kostromins A., Stalidzans E. Paint4Net: COBRA Toolbox extension for visualization of stoichiometric models of metabolism, Biosystems, Volume 109, Issue 2, August 2012, pp 233-239, ISSN 0303-2647, 10.1016/j.biosystems.2012.03.002.Full text available at:

Sulins J., Stalidzans E. Corunner: multiple optimization run manager for Copasi software. In Proceedings of the International Scientific Conference "Applied Information and Communication Technologies", April 26.-27., 2012, Jelgava, Latvia, ISBN 978-9984-48-065-7, pp 312-316.Full text available at:

Mednis, M., Brusbardis, V., Galvanauskas, V. Comparison of genome-scale reconstructions using ModeRator, Proceedings of 13th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, 2012, pp 79-84 doi:10.1109/CINTI.2012.6496737 

Mednis, M., Aurich, M.K., (2012) Application of string similarity ratio and edit distance in automatic metabolite reconciliation comparing reconstructions and models, Biosystems and Information technology, vol 1(1), pp 14-18 doi:10.11592/bit.121102 Full text 


Mozga I., Stalidzans E. Convergence Dynamics of Biochemical Models To The Global Optimum, 3rd IEEE International Conference on e-Health and Bioengineering, EHB 2011 – Proceedings, pp. 227-230. Full text available at: ehb2011_mozga.pdf

Mozga I., Stalidzans E. Optimization protocol of biochemical networks for effective collaboration between industry representatives, biologists and modellers, 9th International Industrial Simulation Conference (ISC'2011), Venice, Italy, 2011. pp. 91–96.Full text available at: isc2011_mozga_stalidzans.pdf