The Resource for Macromolecular Modeling and Bioinformatics seeks to bring the most advanced molecular modeling, bioinformatics, and computational technologies to bear on questions of biomedical interest. The Resource will extend and refine these technologies in response to experimental advances. It will multiply the impact of its work through direct collaborations with experimental researchers, by the distribution of high quality and easily adopted software, and with comprehensive training, service, and dissemination efforts. The Resource has assembled a multidisciplinary team that has focused on modeling in structure-based systems biology, in bio-nanotechnology, and on applications to both membrane transport and cellular mechanics. In the next grant period, the Resource will pursue six specific aims: Develop efficient and widely automated tools for set-up, execution, and analysis of molecular modeling in systems biology, particularly, tools for coarse-graining. Provide comprehensive, advanced, intuitive structure and sequence viewing and analysis software, scalable to the largest biomolecular systems known and accessible for a wide user group. Furnish a scalable, efficient molecular modeling program capable of simulating systems of up to 100 million atoms or up to millisecond duration, at full atomic resolution and flexibly coarse-grained on petascale computers, as well as commodity clusters and laptops. Support the emerging field of bio-nanotechnology through simulation-based """"""""imaging"""""""" and simulation methodlogies and tools capable of representing biomolecular and inorganic materials. Advance biomedical science through collaborations between theoretical and experimental researchers. Enhance service, training, and dissemination, providing a leading edge computational laboratory, continuing hands-on training efforts and compilation of first-rate educational material, as well as maintaining a widely-used web site.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR005969-22
Application #
8133683
Study Section
Special Emphasis Panel (ZRG1-BCMB-E (40))
Program Officer
Brazhnik, Olga
Project Start
1997-08-01
Project End
2012-09-09
Budget Start
2011-08-01
Budget End
2012-09-09
Support Year
22
Fiscal Year
2011
Total Cost
$1,657,800
Indirect Cost
Name
University of Illinois Urbana-Champaign
Department
Type
Organized Research Units
DUNS #
041544081
City
Champaign
State
IL
Country
United States
Zip Code
61820
Shim, Jiwook; Banerjee, Shouvik; Qiu, Hu et al. (2017) Detection of methylation on dsDNA using nanopores in a MoS2 membrane. Nanoscale 9:14836-14845
Wolfe, Aaron J; Si, Wei; Zhang, Zhengqi et al. (2017) Quantification of Membrane Protein-Detergent Complex Interactions. J Phys Chem B 121:10228-10241
Decker, Karl; Page, Martin; Aksimentiev, Aleksei (2017) Nanoscale Ion Pump Derived from a Biological Water Channel. J Phys Chem B 121:7899-7906
Radak, Brian K; Chipot, Christophe; Suh, Donghyuk et al. (2017) Constant-pH Molecular Dynamics Simulations for Large Biomolecular Systems. J Chem Theory Comput 13:5933-5944
Sun, Chang; Taguchi, Alexander T; Vermaas, Josh V et al. (2016) Q-Band Electron-Nuclear Double Resonance Reveals Out-of-Plane Hydrogen Bonds Stabilize an Anionic Ubisemiquinone in Cytochrome bo3 from Escherichia coli. Biochemistry 55:5714-5725
Belkin, Maxim; Aksimentiev, Aleksei (2016) Molecular Dynamics Simulation of DNA Capture and Transport in Heated Nanopores. ACS Appl Mater Interfaces 8:12599-608
Poudel, Kumud R; Dong, Yongming; Yu, Hang et al. (2016) A time course of orchestrated endophilin action in sensing, bending, and stabilizing curved membranes. Mol Biol Cell 27:2119-32
Vermaas, Josh V; Taguchi, Alexander T; Dikanov, Sergei A et al. (2015) Redox potential tuning through differential quinone binding in the photosynthetic reaction center of Rhodobacter sphaeroides. Biochemistry 54:2104-16
Belkin, Maxim; Chao, Shu-Han; Jonsson, Magnus P et al. (2015) Plasmonic Nanopores for Trapping, Controlling Displacement, and Sequencing of DNA. ACS Nano 9:10598-611
Shen, Rong; Han, Wei; Fiorin, Giacomo et al. (2015) Structural Refinement of Proteins by Restrained Molecular Dynamics Simulations with Non-interacting Molecular Fragments. PLoS Comput Biol 11:e1004368

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