Physics-based simulation provides a powerful framework for understanding biological form and function. Simulations may be used by biologists to study macromolecular assemblies or by clinicians to analyze disease mechanisms. Simulations help biomedical researchers understand the physical constraints on these systems as they engineer novel drugs, drug delivery mechanisms, synthetic tissues, medical devices, or surgical interventions. We propose to establish the National Center for Simulation of Biological Structures (SimBioS). We will develop, disseminate, and support a simulation toolkit (SimTK) that enables users to create and visualize accurate models and simulations of biological structures at all scales-from atoms to organisms. SimTK will be an extensible, open source, freely available software system that will build on component software systems developed by the project participants and others. The software will be developed and tested in close collaboration with biomedical scientists to ensure its utility and accuracy. The initial driving biological problems will immediately exercise a full range of scales: simulating RNA folding, molecular machines, neuromuscular dynamics, and cardiovascular mechanics. We have identified the biocomputation research challenges that must be addressed in order to move beyond current capabilities. We have assembled a team of researchers with a track record of accomplishments in modeling, simulation and visualization of biological structures. The software engineering effort will be lead by experienced professionals, who have previously developed and delivered complex software packages to thousands of users. Our aggressive dissemination plan includes regular workshops, a national newsletter, and on-line training through Stanford's Center for Professional Development. Our planning effort has established the vision, facilities, training environment, administrative organization, and collaborative relationships required for the success of this challenging project. In the context of other centers focusing on complementary elements of biomedicine, our center is focused on the physical reality of biological structures. It will thus provide a critical piece of a national biomedical computing infrastructure.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM072970-03
Application #
7104991
Study Section
Special Emphasis Panel (ZRG1-BST-C (55))
Program Officer
Lyster, Peter
Project Start
2004-09-15
Project End
2009-07-31
Budget Start
2006-08-01
Budget End
2007-07-31
Support Year
3
Fiscal Year
2006
Total Cost
$4,005,999
Indirect Cost
Name
Stanford University
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Seth, Ajay; Hicks, Jennifer L; Uchida, Thomas K et al. (2018) OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. PLoS Comput Biol 14:e1006223
Liu, Tianyun; Ish-Shalom, Shirbi; Torng, Wen et al. (2018) Biological and functional relevance of CASP predictions. Proteins 86 Suppl 1:374-386
Rojas, Enrique R; Billings, Gabriel; Odermatt, Pascal D et al. (2018) The outer membrane is an essential load-bearing element in Gram-negative bacteria. Nature 559:617-621
DeMers, Matthew S; Hicks, Jennifer L; Delp, Scott L (2017) Preparatory co-activation of the ankle muscles may prevent ankle inversion injuries. J Biomech 52:17-23
Rojas, Enrique R; Huang, Kerwyn Casey; Theriot, Julie A (2017) Homeostatic Cell Growth Is Accomplished Mechanically through Membrane Tension Inhibition of Cell-Wall Synthesis. Cell Syst 5:578-590.e6
Budday, S; Sommer, G; Birkl, C et al. (2017) Mechanical characterization of human brain tissue. Acta Biomater 48:319-340
Dodani, Sheel C; Kiss, Gert; Cahn, Jackson K B et al. (2016) Discovery of a regioselectivity switch in nitrating P450s guided by molecular dynamics simulations and Markov models. Nat Chem 8:419-25
Sack, Kevin L; Baillargeon, Brian; Acevedo-Bolton, Gabriel et al. (2016) Partial LVAD restores ventricular outputs and normalizes LV but not RV stress distributions in the acutely failing heart in silico. Int J Artif Organs 39:421-430
Shukla, Diwakar; Peck, Ariana; Pande, Vijay S (2016) Conformational heterogeneity of the calmodulin binding interface. Nat Commun 7:10910
Rajagopal, Apoorva; Dembia, Christopher L; DeMers, Matthew S et al. (2016) Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait. IEEE Trans Biomed Eng 63:2068-79

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