Matthew A. Oberhardt, Ph.D.
Affiliations: | 2010 | University of Virginia, Charlottesville, VA |
Area:
Computational Systems BiologyGoogle:
"Matthew Oberhardt"Parents
Sign in to add mentor| Jason A. Papin | grad student | 2010 | UVA | |
| (Systems biology of metabolism in the opportunistic pathogen, Pseudomonas aeruginosa.) | ||||
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Publications
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| Auslander N, Wagner A, Oberhardt M, et al. (2016) Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction. Plos Computational Biology. 12: e1005125 |
| Shaked I, Oberhardt MA, Atias N, et al. (2016) Metabolic Network Prediction of Drug Side Effects. Cell Systems. 2: 209-13 |
| Oberhardt MA, Zarecki R, Reshef L, et al. (2016) Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5'-Phosphate Production in E. coli. Plos Computational Biology. 12: e1004705 |
| Oberhardt MA, Gianchandani EP. (2014) Genome-scale modeling and human disease: an overview. Frontiers in Physiology. 5: 527 |
| Eilam O, Zarecki R, Oberhardt M, et al. (2014) Glycan degradation (GlyDeR) analysis predicts mammalian gut microbiota abundance and host diet-specific adaptations. Mbio. 5 |
| Zarecki R, Oberhardt MA, Reshef L, et al. (2014) A novel nutritional predictor links microbial fastidiousness with lowered ubiquity, growth rate, and cooperativeness. Plos Computational Biology. 10: e1003726 |
| Zarecki R, Oberhardt MA, Yizhak K, et al. (2014) Maximal sum of metabolic exchange fluxes outperforms biomass yield as a predictor of growth rate of microorganisms. Plos One. 9: e98372 |
| Oberhardt MA, Yizhak K, Ruppin E. (2013) Metabolically re-modeling the drug pipeline. Current Opinion in Pharmacology. 13: 778-85 |
| Oberhardt MA, Pucha?ka J, Martins dos Santos VA, et al. (2011) Reconciliation of genome-scale metabolic reconstructions for comparative systems analysis. Plos Computational Biology. 7: e1001116 |
| Benedict KF, Mac Gabhann F, Amanfu RK, et al. (2011) Systems analysis of small signaling modules relevant to eight human diseases. Annals of Biomedical Engineering. 39: 621-35 |