Publications of A. Küken

Journal Article (9)

Journal Article
Tong, H., Küken, A., Razaghi-Moghadam, Z. & Nikoloski, Z. Characterization of effects of genetic variants via genome-scale metabolic modelling. Cellular and Molecular Life Sciences 78, 5123–5138 (2021).
Journal Article
Küken, A., Gennermann, K. & Nikoloski, Z. Characterization of maximal enzyme catalytic rates in central metabolism of Arabidopsis thaliana. The Plant Journal 103, 2168–2177 (2020).
Journal Article
Tong, H., Küken, A. & Nikoloski, Z. Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11, (2020).
Journal Article
Küken, A. & Nikoloski, Z. Computational Approaches to Design and Test Plant Synthetic Metabolic Pathways. Plant Physiology 179, 894–906 (2019).
Journal Article
Küken, A., Eloundou-Mbebi, J. M. O., Basler, G. & Nikoloski, Z. Cellular determinants of metabolite concentration ranges. PLoS Computational Biology 15, (2019).
Journal Article
Küken, A., Sommer, F., Yaneva-Roder, L., Mackinder, L. C. M., Höhne, M., Geimer, S., Jonikas, M. C., Schroda, M., Stitt, M., Nikoloski, Z. & Mettler, T. Effects of microcompartmentation on flux distribution and metabolic pools in Chlamydomonas reinhardtii chloroplasts. eLife 7, (2018).
Journal Article
Basler, G., Küken, A., Fernie, A. R. & Nikoloski, Z. Photorespiratory Bypasses Lead to Increased Growth in Arabidopsis thaliana: Are Predictions Consistent with Experimental Evidence? Frontiers in Bioengineering and Biotechnology 4, (2016).
Journal Article
Eloundou-Mbebi, J. M. O., Küken, A., Omranian, N., Kleessen, S., Neigenfind, J., Basler, G. & Nikoloski, Z. A network property necessary for concentration robustness. Nature Communications 7, (2016).
Journal Article
Schwahn, K., Küken, A., Kliebenstein, D. J., Fernie, A. R. & Nikoloski, Z. Observability of plant metabolic networks is reflected in the correlation of metabolic profiles. Plant Physiology 172, 1324–1333 (2016).

Book Chapter (1)

Book Chapter
Küken, A. & Nikoloski, Z. in Methods in Molecular Biology 1653, 195–202 (Elsevier, 2017).
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