The user community for SIMTK is large. The DBPs during our first five years demonstrate the breadth of problems for which physics-based modeling and simulation are critical. The RNA folding and protein folding/misfolding DBPs included structural biologists, physical chemists, physicists, molecular biologists, physicians and biochemists. The myosin dynamics DBP included biochemists, biomechanical engineers, geneticists, chemists, biophysicists, and structural biologists. The neuromuscular dynamics DBP included orthopedic surgeons, biomechanical engineers, neurologists, and physical therapists. The cardiovascular fluid dynamics DBP included vascular surgeons, cardiologists, vascular biologists, and bioengineers. The three new DBPs, summarized under Core 2 similarly engage a broad spectrum of scientists, including structural biologists, neurologists, electrical engineers, biochemists, pharmaceutical chemists, physicians, computer scientists and biomedical engineers. These users will again provide appropriate "pull" on SIMTK to ensure that it has relevant and useful capabilities. We have disseminated the fruits of Simbios research and development through traditional publications (over 150 papers), presentations at conferences, workshops, and via the materials on our simtk.org website.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM072970-09
Application #
8534883
Study Section
Special Emphasis Panel (ZRG1-BST-K)
Project Start
Project End
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
9
Fiscal Year
2013
Total Cost
$274,248
Indirect Cost
$113,933
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Rausch, Manuel K; Kuhl, Ellen (2014) On the mechanics of growing thin biological membranes. J Mech Phys Solids 63:128-140
Buganza Tepole, Adrián; Gart, Michael; Gosain, Arun K et al. (2014) Characterization of living skin using multi-view stereo and isogeometric analysis. Acta Biomater 10:4822-31
Budday, Silvia; Raybaud, Charles; Kuhl, Ellen (2014) A mechanical model predicts morphological abnormalities in the developing human brain. Sci Rep 4:5644
Javili, A; Steinmann, P; Kuhl, E (2014) A novel strategy to identify the critical conditions for growth-induced instabilities. J Mech Behav Biomed Mater 29:20-32
Vogel, Franziska; Göktepe, Serdar; Steinmann, Paul et al. (2014) Modeling and Simulation of Viscous Electro-Active Polymers. Eur J Mech A Solids 48:112-128
Rojas, Enrique; Theriot, Julie A; Huang, Kerwyn Casey (2014) Response of Escherichia coli growth rate to osmotic shock. Proc Natl Acad Sci U S A 111:7807-12
Buturovic, Ljubomir; Wong, Mike; Tang, Grace W et al. (2014) High precision prediction of functional sites in protein structures. PLoS One 9:e91240
Kohlhoff, Kai J; Shukla, Diwakar; Lawrenz, Morgan et al. (2014) Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways. Nat Chem 6:15-21
Sáez, Pablo; Peña, Estefania; Martínez, Miguel Angel et al. (2014) Computational modeling of hypertensive growth in the human carotid artery. Comput Mech 53:1183-1196
Silva, Daniel-Adriano; Weiss, Dahlia R; Pardo Avila, Fátima et al. (2014) Millisecond dynamics of RNA polymerase II translocation at atomic resolution. Proc Natl Acad Sci U S A 111:7665-70

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