Year |
Citation |
Score |
2018 |
Wang T, Dunlop MJ. Controlling and exploiting cell-to-cell variation in metabolic engineering. Current Opinion in Biotechnology. 57: 10-16. PMID 30261323 DOI: 10.1016/j.copbio.2018.08.013 |
0.34 |
|
2018 |
Agrawal DK, Tang X, Westbrook A, Marshall R, Maxwell C, Lucks JB, Noireaux V, Beisel CL, Dunlop M, Franco E. Mathematical modeling of RNA-based architectures for closed loop control of gene expression. Acs Synthetic Biology. PMID 29709170 DOI: 10.1021/Acssynbio.8B00040 |
0.309 |
|
2017 |
Siu Y, Fenno J, Lindle JM, Dunlop MJ. Design and Selection of a Synthetic Feedback Loop for Optimizing Biofuel Tolerance. Acs Synthetic Biology. PMID 29022700 DOI: 10.1021/acssynbio.7b00260 |
0.385 |
|
2017 |
Tomko TA, Dunlop MJ. Expression of Heterologous Sigma Factor Expands the Searchable Space for Biofuel Tolerance Mechanisms. Acs Synthetic Biology. 6: 1343-1350. PMID 28319371 DOI: 10.1021/acssynbio.6b00375 |
0.337 |
|
2015 |
Turner WJ, Dunlop MJ. Trade-Offs in Improving Biofuel Tolerance Using Combinations of Efflux Pumps. Acs Synthetic Biology. 4: 1056-63. PMID 25496359 DOI: 10.1021/sb500307w |
0.391 |
|
2015 |
Tomko TA, Dunlop MJ. Engineering improved bio-jet fuel tolerance in Escherichia coli using a transgenic library from the hydrocarbon-degrader Marinobacter aquaeolei Biotechnology For Biofuels. 8. DOI: 10.1186/s13068-015-0347-3 |
0.354 |
|
2015 |
Turner WJ, Dunlop MJ. Trade-Offs in Improving Biofuel Tolerance Using Combinations of Efflux Pumps Acs Synthetic Biology. 4: 1056-1063. DOI: 10.1021/sb500307w |
0.388 |
|
2014 |
Frederix M, Hütter K, Leu J, Batth TS, Turner WJ, Rüegg TL, Blanch HW, Simmons BA, Adams PD, Keasling JD, Thelen MP, Dunlop MJ, Petzold CJ, Mukhopadhyay A. Development of a native Escherichia coli induction system for ionic liquid tolerance. Plos One. 9: e101115. PMID 24983352 DOI: 10.1371/Journal.Pone.0101115 |
0.43 |
|
2012 |
Harrison ME, Dunlop MJ. Synthetic feedback loop model for increasing microbial biofuel production using a biosensor. Frontiers in Microbiology. 3: 360. PMID 23112794 DOI: 10.3389/fmicb.2012.00360 |
0.459 |
|
2012 |
Harrison ME, Dunlop MJ. Synthetic feedback loop model for increasing microbial biofuel production using a biosensor Frontiers in Microbiology. 3. DOI: 10.3389/fmicb.2012.00360 |
0.462 |
|
2011 |
Dunlop MJ. Engineering microbes for tolerance to next-generation biofuels. Biotechnology For Biofuels. 4: 32. PMID 21936941 DOI: 10.1186/1754-6834-4-32 |
0.392 |
|
2011 |
Dunlop MJ, Dossani ZY, Szmidt HL, Chu HC, Lee TS, Keasling JD, Hadi MZ, Mukhopadhyay A. Engineering microbial biofuel tolerance and export using efflux pumps. Molecular Systems Biology. 7: 487. PMID 21556065 DOI: 10.1038/Msb.2011.21 |
0.468 |
|
2010 |
Dunlop MJ, Keasling JD, Mukhopadhyay A. A model for improving microbial biofuel production using a synthetic feedback loop. Systems and Synthetic Biology. 4: 95-104. PMID 20805930 DOI: 10.1007/S11693-010-9052-5 |
0.473 |
|
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