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Dr. Anika Küken

Junior group leader, Bioinformatics Department, University of Potsdam

Email: ankuekenuni-potsdamde

Orcid Link

Google Scholar profile

CRC 1644 B6: Plasticity of the Calvin-Benson cycle in Arabidopsis in response to changing light and nitrogen availability over a diurnal cycle

Research Interests

I found my passion in the field of computational systems biology that looks for network patterns to explain emerging properties of biological systems. Plants as sessile organisms provide a fantastic playground to study the interplay between molecular phenotypes and their effect on agriculturally relevant traits. As part of the CRC 1644  my group focus on the development of large-scale kinetic models that can be used to study constraints in phenotypic plasticity of metabolic traits and their relation to plasticity in growth.



03/2015 – 02/2020          PhD, Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Germany

10/2012 – 05/2015          Master of Sc. Bioinformatics, University of Potsdam, Germany

10/2009 – 09/2012          Bachelor of Sc. Biology, Humboldt-University of Berlin, Germany


2020                                   Jeff Schell Price for best PhD thesis at Max Planck Institute of Molecular Plant Physiology


Constraint-based modeling – MSc level

Data integration in cellular networks – MSc level


A Küken, H Treves, Z Nikoloski (Frontiers in Plant Science 2023)
A simulation-free constrained regression approach for flux estimation in isotopically nonstationary metabolic flux analysis with applications in microalgae
doi: 10.3389/fpls.2023.1140829

D Langary, A Küken, Z Nikoloski (Scientific Reports 2023)
The effective deficiency of biochemical networks
doi: 10.1038/s41598-023-41767-1

MÁ Ruiz-Sola, S Flori, Y Yuan, G Villain, E Sanz-Luque, P Redekop et al. (Nature Communications 2023)
Light-independent regulation of algal photoprotection by CO2 availability
doi: 10.1038/s41467-023-37800-6

D Langary, A Küken, Z Nikoloski (Scientific Reports 2023)
The unraveling of balanced complexes in metabolic networks
doi: 10.1038/s41598-023-32666-6

A Küken, D Langary, Z Nikoloski (Science Advances 2022)
The hidden simplicity of metabolic networks is revealed by multireaction dependencies
doi: 10.1126/sciadv.abl6962

H Treves, A Küken, S Arrivault, H Ishihara, I Hoppe, A Erban, M Höhne et al. (Nature Plants 2022)
Carbon flux through photosynthesis and central carbon metabolism show distinct patterns between algae, C3 and C4 plants
doi: 10.1038/s41477-021-01042-5