This project addresses the computational difficulties that arise when models are in the form of nonlinear, partial differential equations. It is an essential part of the proposed """"""""Virtual Cell"""""""" realization, which comprises both stochastic and deterministic formulations to be solved simultaneously (and their outputs integrated), in addition to irregular boundaries as geometric constraints. There are some discontinuities at membrane boundaries to be included, as well.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
1P41RR013186-01A1
Application #
6123537
Study Section
Project Start
1998-09-30
Project End
1999-07-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
1
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of Connecticut
Department
Type
DUNS #
City
Farmington
State
CT
Country
United States
Zip Code
06030
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Schaff, James C; Gao, Fei; Li, Ye et al. (2016) Numerical Approach to Spatial Deterministic-Stochastic Models Arising in Cell Biology. PLoS Comput Biol 12:e1005236
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Azeloglu, Evren U; Hardy, Simon V; Eungdamrong, Narat John et al. (2014) Interconnected network motifs control podocyte morphology and kidney function. Sci Signal 7:ra12
Dickson, Eamonn J; Falkenburger, Björn H; Hille, Bertil (2013) Quantitative properties and receptor reserve of the IP(3) and calcium branch of G(q)-coupled receptor signaling. J Gen Physiol 141:521-35
Michalski, P J (2013) The delicate bistability of CaMKII. Biophys J 105:794-806
Falkenburger, Björn H; Dickson, Eamonn J; Hille, Bertil (2013) Quantitative properties and receptor reserve of the DAG and PKC branch of G(q)-coupled receptor signaling. J Gen Physiol 141:537-55
Ditlev, Jonathon A; Mayer, Bruce J; Loew, Leslie M (2013) There is more than one way to model an elephant. Experiment-driven modeling of the actin cytoskeleton. Biophys J 104:520-32

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