The difficulties encountered in designing nanoconstructs for medical applications are addressed by developing software for computer-aided design. Our software will be based on a rigorous multiscale analysis to capture both atomic and overall nanosystem features. Broad applicability will be achieved through the use of an interatomic force field within the multiscale framework. Nanoparticle issues we will address include (1) the interaction with selected target diseased cells, (2) thermodynamic stability, (3) unimpeded transport within the circulatory system, (4) timed release of payload therapeutics at diseased tissue, (5) shelf life, and (6) prevention of aggregation. These factors will be addressed across specific ranges of temperature, salinity, and chemical conditions. To accomplish these objectives, a nanosystem simulator, NanoX, will be created to bridge the atomistic and nanostructure scales. A conventional molecular dynamics code cannot simulate these supramillion atom systems over biologically relevant timescales (i.e., milliseconds or longer). We have developed a novel algorithm based on the automated construction of order parameters, which characterizes overall nanoscale features, and a multiscale methodology that enables retention of essential atomistic detail while allowing large spatial and temporal scale computations. We will complete the full implementation of NanoX, test it using data on viral capsids, and demonstrate its capabilities as a computer-aided design tool by using data on liposomes as validation. We will make NanoX freely available as online, open-source software. ? ?

Public Health Relevance

Software is developed for designing and analyzing nanoparticles and nanocapsules for applications that include medical imaging and the targeted delivery of therapeutic agents and genes. This software will lead to improved strategies for cancer and gene therapy, refined medical imaging, and the development of magnetic field-guided cancer treatments to the site of the tumor or tissue damage. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21EB008951-01
Application #
7448234
Study Section
Special Emphasis Panel (ZRG1-BST-M (50))
Program Officer
Henderson, Lori
Project Start
2008-09-08
Project End
2010-08-31
Budget Start
2008-09-08
Budget End
2009-08-31
Support Year
1
Fiscal Year
2008
Total Cost
$269,500
Indirect Cost
Name
Indiana University Bloomington
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
006046700
City
Bloomington
State
IN
Country
United States
Zip Code
47401
Ortoleva, P; Singharoy, A; Pankavich, S (2013) Hierarchical Multiscale Modeling of Macromolecules and their Assemblies. Soft Matter 9:4319-4335
Sereda, Yuriy V; Ortoleva, Peter J (2013) Variational methods for time-dependent classical many-particle systems. Physica A 392:628-638
Sereda, Yuriy V; Singharoy, Abhishek B; Jarrold, Martin F et al. (2012) Discovering free energy basins for macromolecular systems via guided multiscale simulation. J Phys Chem B 116:8534-44
Singharoy, Abhishek; Sereda, Yuriy; Ortoleva, Peter J (2012) Hierarchical Order Parameters for Macromolecular Assembly Simulations I: Construction and Dynamical Properties of Order Parameters. J Chem Theory Comput 8:1379-1392
Pankavich, Stephen D; Ortoleva, Peter J (2012) Nanosystem self-assembly pathways discovered via all-atom multiscale analysis. J Phys Chem B 116:8355-62
Singharoy, A; Joshi, H; Ortoleva, P J (2012) Multiscale macromolecular simulation: role of evolving ensembles. J Chem Inf Model 52:2638-49
Singharoy, Abhishek; Joshi, Harshad; Miao, Yinglong et al. (2012) Space warping order parameters and symmetry: application to multiscale simulation of macromolecular assemblies. J Phys Chem B 116:8423-34
Joshi, Harshad; Singharoy, Abhishek; Sereda, Yuriy V et al. (2011) Multiscale simulation of microbe structure and dynamics. Prog Biophys Mol Biol 107:200-17
Miao, Yinglong; Johnson, John E; Ortoleva, Peter J (2010) All-atom multiscale simulation of cowpea chlorotic mottle virus capsid swelling. J Phys Chem B 114:11181-95
Singharoy, Abhishek; Yesnik, Anastasia M; Ortoleva, Peter (2010) Multiscale analytic continuation approach to nanosystem simulation: applications to virus electrostatics. J Chem Phys 132:174112

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