Publications of Z. Razaghi-Moghadam

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 (2021). doi:10.1093/bioinformatics/btab575

Razaghi-Moghadam, Z. & Nikoloski, Z. GeneReg: a constraint-based approach for design of feasible metabolic engineering strategies at the gene level. Bioinformatics 37, 1717–1723 (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, (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, 2170–2178 (2021).

Seep, L., Razaghi-Moghadam, Z. & Nikoloski, Z. Reaction lumping in metabolic networks for application with thermodynamic metabolic flux analysis. Scientific Reports 11, (2021).

Tong, H., Küken, A., Razaghi-Moghadam, Z. & Nikoloski, Z. Characterization of effects of genetic variants via genome-scale metabolic modelling. Cellular and Molecular Life Sciences 78, 5123–5138 (2021).

Razaghi-Moghadam, Z. & Nikoloski, Z. GeneReg: A constraint-based approach for design of feasible metabolic engineering strategies at the gene level. Bioinformatics (2020). doi:10.1093/bioinformatics/btaa996

Razaghi-Moghadam, Z. & Nikoloski, Z. Supervised Learning of Gene Regulatory Networks. Current Protocols in Plant Biology 5, (2020).

Razaghi-Moghadam, Z., Namipashaki, A., Farahmand, S. & Ansari-Pour, N. Systems genetics of nonsyndromic orofacial clefting provides insights into its complex aetiology. European Journal of Human Genetics 27, 226–234 (2019).

Shamsizadeh, S., Goliaei, S. & Razaghi-Moghadam, Z. CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer. Journal of biomedical informatics 94, (2019).

Ashtiani, M., Salehzadeh-Yazdi, A., Razaghi-Moghadam, Z., Hennig, H., Wolkenhauer, O., Mirzaie, M. & Jafari, M. A systematic survey of centrality measures for protein-protein interaction networks. BMC Systems Biology 12, (2018).

Razaghi-Moghadam, Z., Masoudi-Nejad, A. & Nowzari-Dalini, A. ParaKavosh: A Parallel Algorithm for Finding Biological Network Motifs. in 2020 11th International Conference on Information and Knowledge Technology (IKT) 45–49 (2020). doi:10.1109/IKT51791.2020.9345641