Ali R. Zomorrodi
Affiliations: | 2013 | Chemical Engineering | Pennsylvania State University, State College, PA, United States |
| 2013-2019 | Bioinformatics Graduate Program and Department of Biology, | Boston University, Boston, MA, United States | |
| 2019- | Harvard Medical School, Boston, MA, United States |
Website:
https://www.massgeneral.org/children/mucosal-immunology/faculty/zomorrodi-labGoogle:
"Ali Zomorrodi"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Costas Maranas | grad student | 2013 | Penn State | |
| (Computational tools for genome-scale synthetic lethality analysis and metabolic modeling of microbial communities) | ||||
| Daniel Segrè | post-doc | Boston University (Microtree) | ||
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Publications
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| Zomorrodi AR, Hemez C, Arranz-Gibert P, et al. (2022) Computational design and engineering of an strain producing the nonstandard amino acid -aminophenylalanine. Iscience. 25: 104562 |
| Colarusso AV, Goodchild-Michelman I, Rayle M, et al. (2021) Computational modeling of metabolism in microbial communities on a genome-scale Current Opinion in Systems Biology. 26: 46-57 |
| Zomorrodi AR, Segrè D. (2017) Genome-driven evolutionary game theory helps understand the rise of metabolic interdependencies in microbial communities. Nature Communications. 8: 1563 |
| Zomorrodi AR, Segrè D. (2016) Synthetic Ecology of Microbes: Mathematical Models and Applications. Journal of Molecular Biology. 428: 837-61 |
| Chowdhury A, Zomorrodi AR, Maranas CD. (2015) Bilevel optimization techniques in computational strain design Computers and Chemical Engineering. 72: 363-372 |
| Khodayari A, Zomorrodi AR, Liao JC, et al. (2014) A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data. Metabolic Engineering. 25: 50-62 |
| Zomorrodi AR, Islam MM, Maranas CD. (2014) d-OptCom: Dynamic multi-level and multi-objective metabolic modeling of microbial communities. Acs Synthetic Biology. 3: 247-57 |
| Chowdhury A, Zomorrodi AR, Maranas CD. (2014) k-OptForce: integrating kinetics with flux balance analysis for strain design. Plos Computational Biology. 10: e1003487 |
| Zomorrodi AR, Maranas CD. (2014) Coarse-grained optimization-driven design and piecewise linear modeling of synthetic genetic circuits European Journal of Operational Research. 237: 665-676 |
| Zomorrodi AR, Lafontaine Rivera JG, Liao JC, et al. (2013) Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks. Biotechnology Journal. 8: 1090-104 |