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Photo of Douglas Lauffenburgerg

Douglas Lauffenburger

ICB MIT Program Leader
ICB Systems and Synthetic Biology Co-Leader
Ford Professor
Biological Engineering
Chemical Engineering and Biology
MIT
Phone:
+1 617-252-1629
Email:
lauffen@mit.edu
Website:
Website

Research Focus Areas

Research Interests

Cell, tissue, and biomolecular engineering.  Computational modeling of biological and physiological systems.

National Academies

NAE 2001

News

Displaying 41 - 50 of 50

ICB Supported Publications

Qualitatively different T cell phenotypic responses are unified by identical dependences on receptor signal strength and duration

A. Arneja, H. Johnson, L. Gabrovsek, D. A. Lauffenburger, and F. M. White
J. Immunol.,
10.4049/jimmunol.1302291

Network analysis of differential Ras isoform mutation effects on intestinal epithelial responses to TNF-α

K. S. Lau, S. B. Schrier, J. Gierut, J. Lyons, D. A Lauffenburger, and K. M. Haigis
Integr. Biol.,
10.1039/c3ib40062j

Normalization and Statistical Analysis of Multiplexed Bead-based Immunoassay Data Using Mixed-effects Modeling

David C. Clarke, Melody K. Morris, and Douglas A. Lauffenburger
Molecular & Cellular Proteomics,
10.1074/mcp.M112.018655

Non Linear Programming (NLP) Formulation for Quantitative Modeling of Protein Signal Transduction Pathways

A. Mitsos, I. N. Melas, M. K. Morris, J. Saez-Rodriguez, D. A. Lauffenburger, and L. G. Alexopoulos
 PLoS ONE,
10.1371/journal.pone.0050085

CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms

C. Terfve, T. Cokelaer, D. Henriques, A. MacNamara, E. Goncalves, M. K. Morris, M. van Iersel, D. A. Lauffenburger, and J. Saez-Rodriguez
BMC Systems Biology,
10.1186/1752-0509-6-133

Measurement and Modeling of Signaling at the Single-Cell Level

S. E. Kolitz and D. A. Lauffenburger
 Biochemistry,
10.1021/bi300846p

Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions

M. Morris, Z. Shriver, R. Sasisekharan, and D. Lauffenburger
Biotechnology Journal,
10.1002/biot.201100222

Multi-pathway network analysis of mammalian epithelial cell responses in inflammatory environments

D. Clarke and D. Lauffenburger
Biochemical Society Transactions,
10.1042/BST20110633

Cellular defense processes regulated by pathogen-elicited receptor signaling

Wu, R., Goldsipe, A., Schauer, D., Lauffenburger, D.
Proceedings of the 2011 SPIE Biosystems Conference,
10.1117/12.889123

Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli

Morris, M., Saez-Rodriguez, J., Clarke, D., Sorger, P., Lauffenburger, D.
Public Library of Science (PLoS) Computational Biology 7,
10.1371/journal.pcbi.1001099
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