| Year |
Citation |
Score |
| 2022 |
Zomorrodi AR, Hemez C, Arranz-Gibert P, Wu T, Isaacs FJ, Segrè D. Computational design and engineering of an strain producing the nonstandard amino acid -aminophenylalanine. Iscience. 25: 104562. PMID 35789833 DOI: 10.1016/j.isci.2022.104562 |
0.636 |
|
| 2021 |
Colarusso AV, Goodchild-Michelman I, Rayle M, Zomorrodi AR. Computational modeling of metabolism in microbial communities on a genome-scale Current Opinion in Systems Biology. 26: 46-57. DOI: 10.1016/J.COISB.2021.04.001 |
0.368 |
|
| 2017 |
Zomorrodi AR, Segrè D. Genome-driven evolutionary game theory helps understand the rise of metabolic interdependencies in microbial communities. Nature Communications. 8: 1563. PMID 29146901 DOI: 10.1038/S41467-017-01407-5 |
0.653 |
|
| 2016 |
Zomorrodi AR, Segrè D. Synthetic Ecology of Microbes: Mathematical Models and Applications. Journal of Molecular Biology. 428: 837-61. PMID 26522937 DOI: 10.1016/J.Jmb.2015.10.019 |
0.615 |
|
| 2015 |
Chowdhury A, Zomorrodi AR, Maranas CD. Bilevel optimization techniques in computational strain design Computers and Chemical Engineering. 72: 363-372. DOI: 10.1016/J.Compchemeng.2014.06.007 |
0.527 |
|
| 2014 |
Khodayari A, Zomorrodi AR, Liao JC, Maranas CD. A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data. Metabolic Engineering. 25: 50-62. PMID 24928774 DOI: 10.1016/J.Ymben.2014.05.014 |
0.621 |
|
| 2014 |
Zomorrodi AR, Islam MM, Maranas CD. d-OptCom: Dynamic multi-level and multi-objective metabolic modeling of microbial communities. Acs Synthetic Biology. 3: 247-57. PMID 24742179 DOI: 10.1021/Sb4001307 |
0.588 |
|
| 2014 |
Chowdhury A, Zomorrodi AR, Maranas CD. k-OptForce: integrating kinetics with flux balance analysis for strain design. Plos Computational Biology. 10: e1003487. PMID 24586136 DOI: 10.1371/Journal.Pcbi.1003487 |
0.57 |
|
| 2014 |
Zomorrodi AR, Maranas CD. Coarse-grained optimization-driven design and piecewise linear modeling of synthetic genetic circuits European Journal of Operational Research. 237: 665-676. DOI: 10.1016/J.Ejor.2014.01.054 |
0.496 |
|
| 2013 |
Zomorrodi AR, Lafontaine Rivera JG, Liao JC, Maranas CD. Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks. Biotechnology Journal. 8: 1090-104. PMID 23450699 DOI: 10.1002/Biot.201200270 |
0.623 |
|
| 2012 |
Ranganathan S, Tee TW, Chowdhury A, Zomorrodi AR, Yoon JM, Fu Y, Shanks JV, Maranas CD. An integrated computational and experimental study for overproducing fatty acids in Escherichia coli. Metabolic Engineering. 14: 687-704. PMID 23036703 DOI: 10.1016/J.Ymben.2012.08.008 |
0.563 |
|
| 2012 |
Zomorrodi AR, Suthers PF, Ranganathan S, Maranas CD. Mathematical optimization applications in metabolic networks. Metabolic Engineering. 14: 672-86. PMID 23026121 DOI: 10.1016/J.Ymben.2012.09.005 |
0.615 |
|
| 2012 |
Zomorrodi AR, Maranas CD. OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities. Plos Computational Biology. 8: e1002363. PMID 22319433 DOI: 10.1371/Journal.Pcbi.1002363 |
0.611 |
|
| 2010 |
Zomorrodi AR, Maranas CD. Improving the iMM904 S. cerevisiae metabolic model using essentiality and synthetic lethality data. Bmc Systems Biology. 4: 178. PMID 21190580 DOI: 10.1186/1752-0509-4-178 |
0.628 |
|
| 2009 |
Suthers PF, Zomorrodi A, Maranas CD. Genome-scale gene/reaction essentiality and synthetic lethality analysis. Molecular Systems Biology. 5: 301. PMID 19690570 DOI: 10.1038/msb.2009.56 |
0.53 |
|
| 2009 |
Suthers PF, Kumar VS, Zomorrodi A, Ranganathan S, Maranas CD. Using systems engineering to reconstruct, analyze And redesign metabolism Computer Aided Chemical Engineering. 27: 113-115. DOI: 10.1016/S1570-7946(09)70239-1 |
0.513 |
|
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