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)

Omranian, S.; Nikoloski, Z.; Grimm, D.: Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward. (2022)