Calderan-Rodrigues, M.J.; Luzarowski, M.; Monte Bello, C.C.; Minen, R.I.; Zühlke, B. M.; Nikoloski, Z.; Skirycz, A.; Caldana, C.: Proteogenic Dipeptides Are Characterized by Diel Fluctuations and Target of Rapamycin Complex-Signaling Dependency in the Model Plant Arabidopsis thaliana. Frontiers in Plant Science 12, 758933 (2021)

Treves, H.; Küken, A.; Arrivault, S.; Ishihara, H.; Hoppe, I.; Erban, A.; Höhne, M.; Moraes, T. A.; Kopka, J.; Szymanski, J. et al.; Nikoloski, Z.; Stitt, M.: Carbon flux through photosynthesis and central carbon metabolism show distinct patterns between algae, C-3 and C-4 plants. Nature Plants (2021)

David, Z.; Swart, C.; Graf, A.; Arrivault, S.; Tillich, M.; Proost, S.; Nikoloski, Z.; Stitt, M.; Bock, R.; Mühlhaus, M. et al.; Boulouis, A.: Topology of the redox network during induction of photosynthesis as revealed by time-resolved proteomics in tobacco. Science Advances 7 (51), eabi8307 (2021)

Hashemi, S.; Razaghi-Moghadam, Z.; Nikoloski, Z.: Identification of flux trade-offs in metabolic networks. Scientific Reports 11 (1), 23776 (2021)

Angeleska, A.; Omranian, N.; Nikoloski, Z.: Coherent network partitions: Characterizations with cographs and prime graphs. Theoretical computer science 894, S. 3 - 11 (2021)

Zhu, F.; Alseekh, S.; Koper, K.; Tong, H.; Nikoloski, Z.; Naake, T.; Liu, H.; Yan, J.; Brotman, Y.; Wen, W. et al.; Maeda, H.; Cheng, Y.; Fernie, A. R.: Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis. The Plant Cell 34 (1), S. 557 - 578 (2021)

Omranian, N.; Angeleska, A.; Nikoloski, Z.: Efficient and accurate identification of protein complexes from protein-protein interaction networks based on the clustering coefficient. Computational and Structural Biotechnology Journal 19, S. 5255 - 5263 (2021)

Aarabi, F.; Rakpenthai, A.; Barahimipour, R.; Gorka, M.; Alseekh, S.; Zhang, Y.; Salem, M.A.; Brückner, F.; Omranian, N.; Watanabe, M. et al.; Nikoloski, Z.; Giavalisco, P.; Tohge, T.; Graf, A.; Fernie, A. R.; Hoefgen, R.: Sulfur Deficiency Induced genes affect seed protein accumulation and composition under sulfate deprivation. Plant Physiology 187 (4), S. 2419 - 2434 (2021)

Xu, R.; Razaghi-Moghadam, Z.; Nikoloski, Z.: Maximization of non-idle enzymes improves the coverage of the estimated maximal in vivo enzyme catalytic rates in Escherichia coli. Bioinformatics 37 (21), S. 3848 - 3855 (2021)

Duarte, G. T.; Pandey, P. K.; Vaid, N.; Alseekh, S.; Fernie, A. R.; Nikoloski, Z.; Laitinen, R.: Plasticity of rosette size in response to nitrogen availability is controlled by an RCC1-family protein. Plant, Cell and Environment 44 (10), S. 3398 - 3411 (2021)

Moreno, J.C.; Rojas, B.E.; Vicente, R.; Gorka, M.; Matz, T.; Kosmacz, M.; Peralta-Ariza, J.S.; Zhang, Y.; Alseekh, S.; Childs, D. et al.; Luzarowski, M.; Nikoloski, Z.; Zarivach, R.; Walther, D.; Hartman, M.D.; Figueroa, C.M.; Iglesias, A.A.; Fernie, A. R.; Skirycz, A.: Tyr-Asp inhibition of glyceraldehyde 3-phosphate dehydrogenase affects plant redox metabolism. EMBO Journal, e106800 (2021)

Razaghi-Moghadam, Z.; Nikoloski, Z.: GeneReg: a constraint-based approach for design of feasible metabolic engineering strategies at the gene level. Bioinformatics 37 (12), S. 1717 - 1723 (2021)

Eng, R.C.; Schneider, R.; Matz, T.; Carter, R.; Ehrhardt, D. W.; Jönsson, H.; Nikoloski, Z.; Sampathkumar, A.: KATANIN and CLASP function at different spatial scales to mediate microtubule response to mechanical stress in Arabidopsis cotyledons. Current Biology 31 (15), S. 3262 - 3274 (2021)

Nowak, J.; Eng, R.C.; Matz, T.; Waack, M.; Persson, S.; Sampathkumar, A.; Nikoloski, Z.: A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells. Nature Communications 12 (1), 458 (2021)

Beleggia, R.; Omranian, N.; Holtz, Y.; Gioia, T.; Fiorani, F.; Nigro, F.M.; Pecchioni, N.; De Vita, P.; Schurr, U.; David, J.L. et al.; Nikoloski, Z.; Papa, R.: Comparative analysis based on transcriptomics and metabolomics data reveal differences between emmer and durum wheat in response to nitrogen starvation. International Journal of Molecular Sciences 22 (9), 4790 (2021)

Küken, A.; Wendering, P.; Langary, D.; Nikoloski, Z.: A structural property for reduction of biochemical networks. Scientific Reports 11 (1), 17415 (2021)

Mbebi, A. J.; Tong, H.; Nikoloski, Z.: L2,1-norm regularized multivariate regression model with applications to genomic prediction. Bioinformatics 37 (18), S. 2896 - 2904 (2021)

Omranian, N.; Angeleska, A.; Nikoloski, Z.: PC2P: parameter-free network-based prediction of protein complexes. Bioinformatics 37 (1), S. 73 - 81 (2021)

Pries, C.; Razaghi-Moghadam, Z.; Kopka, J.; Nikoloski, Z.: Integration of relative metabolomics and transcriptomics time-course data in a metabolic model pinpoints effects of ribosome biogenesis defects on Arabidopsis thaliana metabolism. Scientific Reports 11 (1), 4787 (2021)

Razaghi-Moghadam, Z.; Sokolowska, E.; Sowa, M.A.; Skirycz, A.; Nikoloski, Z.: Combination of network and molecule structure accurately predicts competitive inhibitory interactions. Computational and Structural Biotechnology Journal 19, S. 2170 - 2178 (2021)