Hashemi, S.; Razaghi-Moghadam, Z.; Laitinen, R.A.E.; Nikoloski, Z.: Relative flux trade-offs and optimization of metabolic network functionalities. Computational and Structural Biotechnology Journal 20, S. 3963 - 3971 (2022)

Mbebi, A. J.; Breitler, J.-C.; Bordeaux, M.; Sulpice, R.; McHale, M.; Tong, H.; Toniutti, L.; Castillo, J. A.; Bertrand, B.; Nikoloski, Z.: A comparative analysis of genomic and phenomic predictions of growth-related traits in three-way coffee hybrids. G3: Genes, Genomes, Genetics, jkac170 (2022)

Huß, S.; Judd, R. S.; Koper, K.; Maeda, H. A.; Nikoloski, Z.: An automated workflow that generates atom mappings for large scale metabolic models and its application to Arabidopsis thaliana. The Plant Journal (2022)

Liu, Z.; Østerlund, I.; Ruhnow, F.; Cao, Y.; Huang, G.; Cai, W.; Zhang, J.; Liang, W.; Nikoloski, Z.; Persson, S. et al.; Zhang, D.: Fluorescent cytoskeletal markers reveal associations between the actin and microtubule cytoskeleton in rice cells. Development 149 (12), dev.200415 (2022)

Küken, A.; Langary, D.; Nikoloski, Z.: The hidden simplicity of metabolic networks is revealed by multireaction dependencies. Science Advances 8 (13), eabl6962 (2022)

Tong, H.; Nankar, A.N.; Liu, J.; Todorova, V.; Ganeva, D.; Grozeva, S.; Tringovska, I.; Pasev, G.; Radeva-Ivanova, V.; Gechev, T. et al.; Kostova, D.; Nikoloski, Z.: Genomic prediction of morphometric and colorimetric traits in Solanaceous fruits. Horticulture Research 9, uhac072 (2022)

Wendering, P.; Nikoloski, Z.: COMMIT: Consideration of metabolite leakage and community composition improves microbial community reconstructions. PLoS Computational Biology 18 (3), e1009906 (2022)

Wendering, P.; Nikoloski, Z.: Genome-Scale Modeling Specifies the Metabolic Capabilities of Rhizophagus irregularis. mSystems 7 (1), e01216-21 (2022)

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 8, S. 78 - 91 (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)