The Computational Modeling Core of the TCNC has three scientific foci: development of methods for extracting biological mechanism from large phosphoproteomic datasets;development of methods for using and analyzing dynamical systems models for biological networks;and development of methods for integrating proteomic and transcriptomic datasets. In addition, the Core is responsible for facilitating data-sharing among TCNC member labs.

Agency
National Institute of Health (NIH)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA112967-10
Application #
8619596
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
Budget End
Support Year
10
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02142
Lescarbeau, Rebecca S; Lei, Liang; Bakken, Katrina K et al. (2016) Quantitative Phosphoproteomics Reveals Wee1 Kinase as a Therapeutic Target in a Model of Proneural Glioblastoma. Mol Cancer Ther 15:1332-43
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Reddy, Raven J; Gajadhar, Aaron S; Swenson, Eric J et al. (2016) Early signaling dynamics of the epidermal growth factor receptor. Proc Natl Acad Sci U S A 113:3114-9
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