The overall mission of the National BiomedicalComputation Resource is to conduct, catalyze and enable biomedical research by harnessing forefront computational and information technologies. The key aim of this resource is to provide transparent access to the new and emerging grid infrastructure that will deliver integrated compute, data, physical, experimental, and human resources to biomedical scientists investigating a wide range of medically important problems spanning scales of biological organization from small molecule drug design and comparative genomics to diagnostic brain imaging and cardiovascular disease. To achieve this aim, this resource will:1. Integrate computational data and visualization resources in a transparent, advanced gridenvironment to enable better access to distributed data, computational resources, instrumentsand people.2. Develop and deploy advanced computational tools for modeling and simulation, data analysis,query and integration, three-dimensional image processing, and interactive visualization.3. Deliver and support advanced grid/Cyber-infrastructure for biomedical researchers.4. Train a cadre of new researchers such that they have an interdisciplinary, working knowledge both of experimental biology and of computational technology relevant to biomedical scientists.The core technology research will bring together key grid technologies and address biomedicalproblems that span scales and focus understanding on the relationship between sequence structure and function. The collaborative service, training and dissemination components all relate to expanding the use of these technologies. The core projects include:*Computational grid-enable approaches for simulating and integrating multi-scale, sub-cellularprocesses, from ab initio quantum mechanics to continuum mechanics.*Data integration and grid-enabled analytic tools for molecular sequences to integrated datasources to created a data laboratory.*Structurally and functionally integrated, grid-aware modeling of cell and organ biophysics.*Visual environments for multi-scale biomedical modeling.*Grid computing and analysis services for multi-scale biomedical applications.Given the scope of the proposed activities, the NBCR will deliver innovative software tools and grid- accessible resources covering different scales of biomedical research.

National Institute of Health (NIH)
National Center for Research Resources (NCRR)
Biotechnology Resource Grants (P41)
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Special Emphasis Panel (ZRG1-SSS-9 (40))
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University of California San Diego
Anatomy/Cell Biology
Schools of Arts and Sciences
La Jolla
United States
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Pantoja, Joe Luis; Morgan, Ashley E; Grossi, Eugene A et al. (2017) Undersized Mitral Annuloplasty Increases Strain in the Proximal Lateral Left Ventricular Wall. Ann Thorac Surg 103:820-827
Morgan, Ashley E; Wozniak, Curtis J; Gulati, Sarthak et al. (2017) Association of Uneven MitraClip Application and Leaflet Stress in a Finite Element Model. JAMA Surg 152:111-114
Morgan, Ashley E; Pantoja, Joe L; Grossi, Eugene A et al. (2016) Neochord placement versus triangular resection in mitral valve repair: A finite element model. J Surg Res 206:98-105
Purvine, Emilie; Monson, Kyle; Jurrus, Elizabeth et al. (2016) Energy Minimization of Discrete Protein Titration State Models Using Graph Theory. J Phys Chem B 120:8354-60
Bucero, Marta Abril; Bajaj, Chandrajit; Mourrain, Bernard (2016) On the construction of general cubature formula by flat extensions. Linear Algebra Appl 502:104-125
Ebeida, Mohamed S; Rushdi, Ahmad A; Awad, Muhammad A et al. (2016) Disk Density Tuning of a Maximal Random Packing. Comput Graph Forum 35:259-269
Yang, Pei-Chi; Boras, Britton W; Jeng, Mao-Tsuen et al. (2016) A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation. PLoS Comput Biol 12:e1005005
Watson, Shana R; Liu, Piaomu; Peña, Edsel A et al. (2016) Comparison of Aortic Collagen Fiber Angle Distribution in Mouse Models of Atherosclerosis Using Second-Harmonic Generation (SHG) Microscopy. Microsc Microanal 22:55-62
Ge, Liang; Wu, Yife; Soleimani, Mehrdad et al. (2016) Moderate Ischemic Mitral Regurgitation After Posterolateral Myocardial Infarction in Sheep Alters Left Ventricular Shear but Not Normal Strain in the Infarct and Infarct Borderzone. Ann Thorac Surg 101:1691-9
Morgan, Ashley E; Pantoja, Joe Luis; Weinsaft, Jonathan et al. (2016) Finite Element Modeling of Mitral Valve Repair. J Biomech Eng 138:021009

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