David R. McMillen
Associate Professor
Campus
UTM
CSB Appointment
Full
Research Areas
Bioinformatics / Computational Biology, Biotechnology, Quantitative Biology /Modelling, Systems Biology
Education
Ph.D. University of Toronto 2000
Primary Undergraduate Department
Chemistry, UTM
Graduate Programs
Cell & Systems Biology
Research Description
Systems and synthetic biology. Design, construction, and analysis of synthetic networks (feedback controllers, logical operators, etc.) in microorganisms and (through collaboration) mammalian cells, to alter cellular behaviour from within.
Contact Information
Office Phone: 905-828-5353
Office: DV4056
Lab: DV5029/DV5033
Lab Phone: 905-828-3807
Email
Mailing Address
Department of Cell & Systems Biology
University of Toronto
3359 Mississauga Road
Mississauga, ON L5L 1C6
Canada
Publications
2014
Design and characterization of a dual-mode promoter with activation and repression capability for tuning gene expression in yeast
Mazumder M, McMillen DR
2014, Nucleic acids research, 25056312
2013
Tuning response curves for synthetic biology
Ang J, Harris E, Hussey BJ, Kil R, McMillen DR
2013, ACS synthetic biology, 2, 547-67, 23905721
Physical constraints on biological integral control design for homeostasis and sensory adaptation
Ang J, McMillen DR
2013, Biophysical journal, 104, 505-15, 23442873
2010
An active intracellular device to prevent lethal disease outcomes in virus-infected bacterial cells
Bagh S, Mandal M, Ang J, McMillen DR
2011, Biotechnology and bioengineering, 108, 645-54, 20967799
Minimal genetic device with multiple tunable functions
Bagh S, Mandal M, McMillen DR
2010, Physical review. E, Statistical, nonlinear, and soft matter physics, 82, 021911, 20866841
Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network
Ang J, Bagh S, Ingalls BP, McMillen DR
2010, Journal of theoretical biology, 266, 723-38, 20688080
2008
Increasing the efficiency of bacterial transcription simulations: when to exclude the genome without loss of accuracy
Iafolla MA, Dong GQ, McMillen DR
2008, BMC bioinformatics, 9, 373, 18789148
Dark proteins: effect of inclusion body formation on quantification of protein expression
Iafolla MA, Mazumder M, Sardana V, Velauthapillai T, Pannu K, McMillen DR
2008, Proteins, 72, 1233-42, 18350571
Plasmid-borne prokaryotic gene expression: sources of variability and quantitative system characterization
Bagh S, Mazumder M, Velauthapillai T, Sardana V, Dong GQ, Movva AB, Lim LH, McMillen DR
2008, Physical review. E, Statistical, nonlinear, and soft matter physics, 77, 021919, 18352063
Effects of protein maturation on the noise in gene expression
Dong GQ, McMillen DR
2008, Physical review. E, Statistical, nonlinear, and soft matter physics, 77, 021908, 18352052
2007
Simplification of stochastic chemical reaction models with fast and slow dynamics
Dong GQ, Jakobowski L, Iafolla MA, McMillen DR
2007, Journal of biological physics, 33, 67-95, 19669554
2006
Extracting biochemical parameters for cellular modeling: A mean-field approach
Iafolla MA, McMillen DR
2006, The journal of physical chemistry. B, 110, 22019-28, 17064172