Year |
Citation |
Score |
2019 |
Du B, Yang L, Lloyd CJ, Fang X, Palsson BO. Genome-scale model of metabolism and gene expression provides a multi-scale description of acid stress responses in Escherichia coli. Plos Computational Biology. 15: e1007525. PMID 31809503 DOI: 10.1371/Journal.Pcbi.1007525 |
0.768 |
|
2019 |
Du B, Olson CA, Sastry AV, Fang X, Phaneuf PV, Chen K, Wu M, Szubin R, Xu S, Gao Y, Hefner Y, Feist AM, Palsson BO. Adaptive laboratory evolution of under acid stress. Microbiology (Reading, England). PMID 31625833 DOI: 10.1099/Mic.0.000867 |
0.7 |
|
2019 |
Luo H, Hansen ASL, Yang L, Schneider K, Kristensen M, Christensen U, Christensen HB, Du B, Özdemir E, Feist AM, Keasling JD, Jensen MK, Herrgård MJ, Palsson BO. Coupling S-adenosylmethionine-dependent methylation to growth: Design and uses. Plos Biology. 17: e2007050. PMID 30856169 DOI: 10.1371/Journal.Pbio.2007050 |
0.712 |
|
2018 |
Du B, Zielinski DC, Palsson BO. Estimating Metabolic Equilibrium Constants: Progress and Future Challenges. Trends in Biochemical Sciences. 43: 960-969. PMID 30472988 DOI: 10.1016/J.Tibs.2018.09.009 |
0.604 |
|
2018 |
Du B, Zielinski DC, Monk JM, Palsson BO. Thermodynamic favorability and pathway yield as evolutionary tradeoffs in biosynthetic pathway choice. Proceedings of the National Academy of Sciences of the United States of America. PMID 30309961 DOI: 10.1073/Pnas.1805367115 |
0.715 |
|
2018 |
Fang X, Monk JM, Mih N, Du B, Sastry AV, Kavvas E, Seif Y, Smarr L, Palsson BO. Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa. Bmc Systems Biology. 12: 66. PMID 29890970 DOI: 10.1186/S12918-018-0587-5 |
0.667 |
|
2018 |
Du B, Zhang Z, Grubner S, Yurkovich JT, Palsson BO, Zielinski DC. Temperature-Dependent Estimation of Gibbs Energies Using an Updated Group-Contribution Method. Biophysical Journal. 114: 2691-2702. PMID 29874618 DOI: 10.1016/J.Bpj.2018.04.030 |
0.722 |
|
2017 |
Du B, Zielinski DC, Palsson BO. Topological and kinetic determinants of the modal matrices of dynamic models of metabolism. Plos One. 12: e0189880. PMID 29267329 DOI: 10.1371/Journal.Pone.0189880 |
0.607 |
|
2016 |
Du B, Zielinski DC, Kavvas ES, Dräger A, Tan J, Zhang Z, Ruggiero KE, Arzumanyan GA, Palsson BO. Evaluation of rate law approximations in bottom-up kinetic models of metabolism. Bmc Systems Biology. 10: 40. PMID 27266508 DOI: 10.1186/S12918-016-0283-2 |
0.703 |
|
2015 |
Yang L, Tan J, O'Brien EJ, Monk JM, Kim D, Li HJ, Charusanti P, Ebrahim A, Lloyd CJ, Yurkovich JT, Du B, Dräger A, Thomas A, Sun Y, Saunders MA, et al. Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data. Proceedings of the National Academy of Sciences of the United States of America. PMID 26261351 DOI: 10.1073/Pnas.1501384112 |
0.633 |
|
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