David R. McMillen, Ph.D.

2000 University of Toronto, Toronto, ON, Canada 
General Biophysics, Aerospace Engineering
"David McMillen"
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Gabrielle D'Eleuterio grad student 2000 University of Toronto
 (Effects of spike -frequency adaptation on neural models, with applications to biologically inspired robotics.)
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Hussey BJ, McMillen DR. (2018) Programmable T7-based synthetic transcription factors. Nucleic Acids Research
Tang ZF, McMillen DR. (2016) Design principles for the analysis and construction of robustly homeostatic biological networks. Journal of Theoretical Biology
Harris EA, Koh EJ, Moffat J, et al. (2016) Automated inference procedure for the determination of cell growth parameters. Physical Review. E. 93: 012402
Mazumder M, Brechun KE, Kim YB, et al. (2015) An Escherichia coli system for evolving improved light-controlled DNA-binding proteins. Protein Engineering, Design & Selection : Peds. 28: 293-302
Mazumder M, McMillen DR. (2014) Design and characterization of a dual-mode promoter with activation and repression capability for tuning gene expression in yeast. Nucleic Acids Research. 42: 9514-22
Ang J, Harris E, Hussey BJ, et al. (2013) Tuning response curves for synthetic biology. Acs Synthetic Biology. 2: 547-67
Ang J, McMillen DR. (2013) Physical constraints on biological integral control design for homeostasis and sensory adaptation. Biophysical Journal. 104: 505-15
Bagh S, Mandal M, Ang J, et al. (2011) An active intracellular device to prevent lethal disease outcomes in virus-infected bacterial cells. Biotechnology and Bioengineering. 108: 645-54
Bagh S, Mandal M, McMillen DR. (2010) Minimal genetic device with multiple tunable functions. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 82: 021911
Ang J, Bagh S, Ingalls BP, et al. (2010) Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network. Journal of Theoretical Biology. 266: 723-38
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