Publications

ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds
Sveshnikova, A., Mohammadi Peyhani, H., Hatzimanikatis, V. (2022).
https://doi.org/10.1016/j.ymben.2022.03.013
Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx
Mohammadi Peyhani, H., Hafner, J., Svshenikova, A., Viterbo, V., Hatzimanikatis, V. (2022).
https://doi.org/10.1038/s41467-022-29238-z
The influence of the crowding assumptions in biofilm simulations
Angeles-Martinez, L., Hatzimanikatis, V. (2021).
https://doi.org/10.1371/journal.pcbi.1009158
Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities
Angeles-Martinez, L., Hatzimanikatis, V. (2021).
https://doi.org/10.1371/journal.pcbi.1009140
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