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Ali R. Zomorrodi
Ali R. Zomorrodi
Massachusetts General Hospital & Harvard Medical School
Email verificata su mgh.harvard.edu - Home page
Titolo
Citata da
Citata da
Anno
OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities
AR Zomorrodi, CD Maranas
PLoS computational biology 8 (2), e1002363, 2012
4282012
Synthetic ecology of microbes: mathematical models and applications
AR Zomorrodi, D Segrè
Journal of molecular biology 428 (5), 837-861, 2016
2222016
A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data
A Khodayari*, AR Zomorrodi*, JC Liao, CD Maranas (*Joint 1st authors)
Metabolic engineering 25, 50-62, 2014
2022014
d-OptCom: dynamic multi-level and multi-objective metabolic modeling of microbial communities
AR Zomorrodi, MM Islam, CD Maranas
ACS synthetic biology 3 (4), 247-257, 2014
2022014
Genome‐scale gene/reaction essentiality and synthetic lethality analysis
PF Suthers*, A Zomorrodi*, CD Maranas (*Joint 1st authors)
Molecular systems biology 5 (1), 2009
2002009
Comparison of PID Controller Tuning Methods
M Shahrokhi, A Zomorrodi
https://yunus.hacettepe.edu.tr/~ounver/documents/OMU412/Lectures …, 2013
197*2013
Mathematical optimization applications in metabolic networks
AR Zomorrodi, PF Suthers, S Ranganathan, CD Maranas
Metabolic engineering 14 (6), 672-686, 2012
1762012
k-OptForce: integrating kinetics with flux balance analysis for strain design
A Chowdhury, AR Zomorrodi, CD Maranas
PLoS computational biology 10 (2), e1003487, 2014
1612014
An integrated computational and experimental study for overproducing fatty acids in Escherichia coli
S Ranganathan*, TW Tee*, A Chowdhury#, AR Zomorrodi#, JM Yoon, ...
Metabolic engineering 14 (6), 687-704, 2012
1352012
Genome-driven evolutionary game theory helps understand the rise of metabolic interdependencies in microbial communities
AR Zomorrodi, D Segrè
Nature communications 8 (1), 1563, 2017
1342017
Improving the iMM904 S. cerevisiae metabolic model using essentiality and synthetic lethality data
AR Zomorrodi, CD Maranas
BMC systems biology 4 (1), 1, 2010
1232010
Microbiome signatures of progression toward celiac disease onset in at-risk children in a longitudinal prospective cohort study
MM Leonarda, F Valitutti, H Karathia, M Pujolassos, V Kenyon, B Fanelli, ...
Proceedings of the National Academy of Sciences 118 (29), e2020322118, 2021
1102021
Optimization methods in metabolic networks
CD Maranas, AR Zomorrodi
John Wiley & Sons, 2016
992016
Multi-omics analysis reveals the influence of genetic and environmental risk factors on developing gut microbiota in infants at risk of celiac disease
MM Leonard, H Karathia, M Pujolassos, J Troisi, F Valitutti, ...
Microbiome 130, https://doi.org/10.1186/s40168-020-00906, 2020
792020
Computational modeling of metabolism in microbial communities on a genome-scale
AV Colarusso, I Goodchild-Michelman, M Rayle, AR Zomorrodi
Current Opinion in Systems Biology 26, 46-57, 2021
482021
Bilevel optimization techniques in computational strain design
A Chowdhury, AR Zomorrodi, CD Maranas
Computers & Chemical Engineering 72, 363-372, 2015
472015
Down-regulation of HtrA1 activates the epithelial-mesenchymal transition and ATM DNA damage response pathways
N Wang, KA Eckert, AR Zomorrodi, P Xin, W Pan, DA Shearer, J Weisz, ...
PloS one 7 (6), e39446, 2012
472012
Gut microbiota in celiac disease: microbes, metabolites, pathways and therapeutics
KL Olshan, MM Leonard, G Serena, AR Zomorrodi, A Fasano
Expert review of clinical immunology 16 (11), 1075-1092, 2020
342020
Optimization‐driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks
AR Zomorrodi, JG Lafontaine Rivera, JC Liao, CD Maranas
Biotechnology journal 8 (9), 1090-1104, 2013
332013
Coarse-grained optimization-driven design and piecewise linear modeling of synthetic genetic circuits
AR Zomorrodi, CD Maranas
European Journal of Operational Research 237 (2), 665-676, 2014
152014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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