The mission of the National Biomedical Computation Resource (NBCR) is to conduct, catalyze, and enable biomedical research by harnessing forefront information technologies to advance mechanistic understanding in multi-scale biomedical problems that integrate diverse structural and functional measurements and span scales of biological organization from molecule to organ system. A central theme of NBCR has been the development and deployment of tools and infrastructure that enable biomedical problems to be addressed using mechanistic, structure- and physics-driven computational models that span scales of biological organization from atomistic simulations of molecular dynamics to continuum simulations of organ physiology and pathophysiology. We have been developing new modeling methods and tools that fill gaps in our ability to bridge critical mesoscales such as the macromolecular (nm) to subcellular (pm) levels. Excellent progress has been made building structurally detailed 3-D models of subcellular architecture from electron tomographic image volumes and using these to simulate transport and signaling processes. But to span from molecular to whole cell, tissue and organ scales other approaches will also be needed. The present supplementary revision application proposes to develop new multi-scale modeling tools and methods that: (1) Allow Markov models (MM) of molecular states to be defined using molecular simulations including molecular dynamics (MD), and Brownian dynamics (BD) models;(2) Facilitate the inclusion of Markov models into systems models of cell signaling, electrophysiology and mechanics suitable for use in multiscale models of cell, tissue and organ biomechanics and biophysics. The goal of this competitive revision application is to develop new multiscale modeling tools and methods that will help bridge the gap between molecular models of individual sarcomeric protein components including actin, myosin and components of the troponin-tropomyosin regulatory complex and cellular models of whole sarcomere activation and mechanics in striated muscle. We also identify other applications ofthe proposed new tools including studies on the role of sarcomeric mutations in muscle diseases and on the function of protein kinase A.

Public Health Relevance

Defects in the contraction of cardiac cells, or cardiomyopathies, are a hallmark of heart disease. Underlying these pathologies is the compromised performance of myofilaments, which are the key contractile components of myocytes. The new tools will enable scientists to elucidate important questions such as how seemingly disparate mutations on distinct protein complexes can result in similar phenotypes such as diseases in the heart or muscle and enable scientists to develop more effective therapies.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Biotechnology Resource Grants (P41)
Project #
3P41GM103426-19S1
Application #
8416525
Study Section
Special Emphasis Panel (ZRG1-BCMB-P (40))
Program Officer
Ravichandran, Veerasamy
Project Start
1997-05-06
Project End
2014-04-30
Budget Start
2012-07-27
Budget End
2013-04-30
Support Year
19
Fiscal Year
2012
Total Cost
$367,613
Indirect Cost
$118,024
Name
University of California San Diego
Department
Engineering (All Types)
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Amaro, Rommie E; Ieong, Pek U; Huber, Gary et al. (2018) A Computational Assay that Explores the Hemagglutinin/Neuraminidase Functional Balance Reveals the Neuraminidase Secondary Site as a Novel Anti-Influenza Target. ACS Cent Sci 4:1570-1577
Utesch, Tillmann; de Miguel Catalina, Alejandra; Schattenberg, Caspar et al. (2018) A Computational Modeling Approach Predicts Interaction of the Antifungal Protein AFP from Aspergillus giganteus with Fungal Membranes via Its ?-Core Motif. mSphere 3:
Miao, Yinglong; Huang, Yu-Ming M; Walker, Ross C et al. (2018) Ligand Binding Pathways and Conformational Transitions of the HIV Protease. Biochemistry 57:1533-1541
Zhang, Jingbo; Wang, Nuo; Miao, Yinglong et al. (2018) Identification of SLAC1 anion channel residues required for CO2/bicarbonate sensing and regulation of stomatal movements. Proc Natl Acad Sci U S A 115:11129-11137
Klein, Tobias; Autin, Ludovic; Kozlikova, Barbora et al. (2018) Instant Construction and Visualization of Crowded Biological Environments. IEEE Trans Vis Comput Graph 24:862-872
Olson, Arthur J (2018) Perspectives on Structural Molecular Biology Visualization: From Past to Present. J Mol Biol 430:3997-4012
Erdemir, Ahmet; Hunter, Peter J; Holzapfel, Gerhard A et al. (2018) Perspectives on Sharing Models and Related Resources in Computational Biomechanics Research. J Biomech Eng 140:
Gaieb, Zied; Liu, Shuai; Gathiaka, Symon et al. (2018) D3R Grand Challenge 2: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies. J Comput Aided Mol Des 32:1-20
Mulero, Maria Carmen; Shahabi, Shandy; Ko, Myung Soo et al. (2018) Protein Cofactors Are Essential for High-Affinity DNA Binding by the Nuclear Factor ?B RelA Subunit. Biochemistry 57:2943-2957
Jurrus, Elizabeth; Engel, Dave; Star, Keith et al. (2018) Improvements to the APBS biomolecular solvation software suite. Protein Sci 27:112-128

Showing the most recent 10 out of 162 publications