Zoran Nikoloski, Ph.D.
Affiliations: | 2005 | University of Central Florida, Orlando, FL, United States |
Area:
Computer ScienceGoogle:
"Zoran Nikoloski"Parents
Sign in to add mentor| Narsingh Deo | grad student | 2005 | University of Central Florida | |
| (Graph-theoretic approach to modeling propagation and control of network worms.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Seyis M, Razaghi-Moghadam Z, Nikoloski Z. (2025) Flux-sum coupling analysis of metabolic network models. Plos Computational Biology. 21: e1012972 |
| Arend M, Paulitz E, Hsieh YE, et al. (2025) Scaling metabolic model reconstruction up to the pan-genome level: A systematic review and prospective applications to photosynthetic organisms. Metabolic Engineering |
| Correa Córdoba S, Burgos A, Cuadros-Inostroza Á, et al. (2024) A data-integrative modeling approach accurately characterizes the effects of mutations on Arabidopsis lipid metabolism. Plant Physiology |
| Habibpour M, Razaghi-Moghadam Z, Nikoloski Z. (2024) Prediction and integration of metabolite-protein interactions with genome-scale metabolic models. Metabolic Engineering |
| Ferreira MAM, Silveira WBD, Nikoloski Z. (2024) Protein constraints in genome-scale metabolic models: Data integration, parameter estimation, and prediction of metabolic phenotypes. Biotechnology and Bioengineering. 121: 915-930 |
| Küken A, Treves H, Nikoloski Z. (2023) A simulation-free constrained regression approach for flux estimation in isotopically nonstationary metabolic flux analysis with applications in microalgae. Frontiers in Plant Science. 14: 1140829 |
| Córdoba SC, Tong H, Burgos A, et al. (2023) Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism. Nature Communications. 14: 4897 |
| Tong H, Laitinen RAE, Nikoloski Z. (2023) Predicting plasticity of rosette growth and metabolic fluxes in Arabidopsis thaliana. The New Phytologist. 240: 426-438 |
| Bezold F, Scheffer J, Wendering P, et al. (2023) Optogenetic control of Cdc48 for dynamic metabolic engineering in yeast. Metabolic Engineering. 79: 97-107 |
| Wendering P, Nikoloski Z. (2023) Model-driven insights into the effects of temperature on metabolism. Biotechnology Advances. 67: 108203 |