D. McMillen

发表

Computational studies of gene regulatory networks: in numero molecular biology

Farren J. Isaacs, J. Hasty, J. Collins, 2001, Nature Reviews Genetics.

Synchronizing genetic relaxation oscillators by intercell signaling

J. Hasty, J. Collins, D. McMillen, 2002, Proceedings of the National Academy of Sciences of the United States of America.

Tuning Response Curves for Synthetic Biology

Edouard A Harris, D. McMillen, J. Ang, 2013, ACS synthetic biology.

A bottom-up approach to gene regulation

Nicholas J. Guido, J. Hasty, T. Elston, 2006, Nature.

Dark proteins: Effect of inclusion body formation on quantification of protein expression

D. McMillen, M. Iafolla, Mostafizur Mazumder, 2008, Proteins.

An active intracellular device to prevent lethal disease outcomes in virus‐infected bacterial cells

Jordan Ang, Sangram Bagh, David R. McMillen, 2011, Biotechnology and bioengineering.

Effects of protein maturation on the noise in gene expression.

D. McMillen, G. Dong, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Design and Experimental Validation of Small Activating RNAs Targeting an Exogenous Promoter in Human Cells.

Edouard A Harris, D. McMillen, J. Moffat, 2017, ACS synthetic biology.

Applying an inverse homeostasis perspective to simplify the design and implemention of robustly-nearly-homeostatic biological networks

D. McMillen, Zhe F Tang, 2020 .

Designer gene networks: Towards fundamental cellular control.

Jeff Hasty, Farren J. Isaacs, J. J. Collins, 2001, Chaos.

Programmable T7-based synthetic transcription factors

D. McMillen, B. Hussey, 2018, Nucleic acids research.

Malarial Antibody Detection with an Engineered Yeast Agglutination Assay.

D. McMillen, Richard Kil, P. Rivera, 2022, ACS synthetic biology.

The effects of endogenous interleukin-10 on gray matter damage and the development of pain behaviors following excitotoxic spinal cord injury in the mouse

D. McMillen, K. Brewer, K. E. Abraham, 2004, Neuroscience.

Differential effects of prolonged restraint stress on proenkephalin gene expression in the brainstem.

D. McMillen, J. B. Boone, 1994, Brain research. Molecular brain research.

Engineered gene circuits

Jeff Hasty, David McMillen, J. J. Collins, 2002, Nature.

Noise-Stabilized Long-Distance Synchronization in Populations of Model Neurons

Nancy Kopell, David McMillen, D. McMillen, 2003, Journal of Computational Neuroscience.

Proenkephalin gene expression is altered in the brain of spontaneously hypertensive rats during the development of hypertension.

D. McMillen, J. B. Boone, 1994, Brain research. Molecular brain research.

Simplification of Stochastic Chemical Reaction Models with Fast and Slow Dynamics

Guang Qiang Dong, Luke Jakobowski, Marco A J Iafolla, 2007, Journal of biological physics.

Plasmid-borne prokaryotic gene expression: sources of variability and quantitative system characterization.

Guang Qiang Dong, David R McMillen, Sangram Bagh, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network.

Brian Ingalls, Jordan Ang, Sangram Bagh, 2010, Journal of theoretical biology.

Role of Dilution Rate and Nutrient Availability in the Formation of Microbial Biofilms

D. McMillen, D. Cvitkovitch, M. Legner, 2019, Front. Microbiol..

Automated inference procedure for the determination of cell growth parameters.

David R McMillen, Jason Moffat, Edouard A Harris, 2016, Physical review. E.

Physical constraints on biological integral control design for homeostasis and sensory adaptation.

Jordan Ang, David R McMillen, D. McMillen, 2013, Biophysical journal.

Design principles for the analysis and construction of robustly homeostatic biological networks.

David R McMillen, D. McMillen, Zhe F Tang, 2016, Journal of theoretical biology.

Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks

David McMillen, Timothy C. Elston, David Adalsteinsson, 2004, BMC Bioinformatics.

Design and characterization of a dual-mode promoter with activation and repression capability for tuning gene expression in yeast

David R. McMillen, D. McMillen, Mostafizur Mazumder, 2014, Nucleic acids research.

Improving the design of an oxidative stress sensing biosensor in yeast

D. McMillen, Louis C Dacquay, 2021, FEMS yeast research.

Effects of spike-frequency adaptation on neural models, with applications to biologically inspired robotics

David McMillen, D. McMillen, 2000 .

Simple central pattern generator model using phasic analog neurons.

D. McMillen, D R McMillen, G M D'Eleuterio, 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

Cell culture Escherichia coli strain DH 5 Z 1 ( Expressys , Germany ) was used in prototyping measurements and strain MG 1655

D. McMillen, B. Hussey, 2018 .

A synthetic genetic circuit whose signal-response curve is temperature-tunable from band-detection to sigmoidal behaviour

David R. McMillen, Sangram Bagh, D. McMillen, 2010, Natural Computing.

Probing the input-output behavior of biochemical and genetic systems system identification methods from control theory.

Jordan Ang, Brian Ingalls, David McMillen, 2011, Methods in enzymology.

Increasing the efficiency of bacterial transcription simulations: When to exclude the genome without loss of accuracy

Guang Qiang Dong, David R. McMillen, Marco A. J. Iafolla, 2008, BMC Bioinformatics.

Dark proteins: Effect of inclusion body formation on quantification of protein expression

D. McMillen, Mostafizur Mazumder, Tharsan Velauthapillai, 2008, Proteins.