Edward J. O'Brien, PhD
Affiliations: | 2015 | Bioinformatics | University of California, San Diego, La Jolla, CA |
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"Edward O'Brien"
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| Cheng C, O'Brien EJ, McCloskey D, et al. (2019) Laboratory evolution reveals a two-dimensional rate-yield tradeoff in microbial metabolism. Plos Computational Biology. 15: e1007066 |
| Lloyd CJ, King ZA, Sandberg TE, et al. (2019) The genetic basis for adaptation of model-designed syntrophic co-cultures. Plos Computational Biology. 15: e1006213 |
| Lloyd CJ, Ebrahim A, Yang L, et al. (2018) COBRAme: A computational framework for genome-scale models of metabolism and gene expression. Plos Computational Biology. 14: e1006302 |
| Chen K, Gao Y, Mih N, et al. (2017) Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation. Proceedings of the National Academy of Sciences of the United States of America. 114: 11548-11553 |
| King ZA, O'Brien EJ, Feist AM, et al. (2016) Literature mining supports a next-generation modeling approach to predict cellular byproduct secretion. Metabolic Engineering |
| Ebrahim A, Brunk E, Tan J, et al. (2016) Multi-omic data integration enables discovery of hidden biological regularities. Nature Communications. 7: 13091 |
| O'Brien EJ, Utrilla J, Palsson BO. (2016) Quantification and Classification of E. coli Proteome Utilization and Unused Protein Costs across Environments. Plos Computational Biology. 12: e1004998 |
| Brunk E, George KW, Alonso-Gutierrez J, et al. (2016) Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow. Cell Systems |
| Utrilla J, O'Brien EJ, Chen K, et al. (2016) Global Rebalancing of Cellular Resources by Pleiotropic Point Mutations Illustrates a Multi-scale Mechanism of Adaptive Evolution. Cell Systems. 2: 260-271 |
| Brunk E, Mih N, Monk J, et al. (2016) Systems biology of the structural proteome. Bmc Systems Biology. 10: 26 |