This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Biomedically-relevant cell-scale processes take place in molecular assemblies made of millions to hundreds of millions of atoms. Atomistic molecular dynamics simulation of these structures provides insight into their functional mechanisms;such simulations are extremely demanding and require petascale computational resources. The datasets that result are so large that existing workstations are too limited ?in physical memory, processing and visualization power, and mass storage ?to efficiently handle them. Common visualization calculations, such as three-dimensional maps of electrostatic potential fields across a long trajectory, can take minutes using a standard desktop workstation. As a result, a researcher's interactive analysis of a large simulation result is interrupted and slowed so much as to be virtually impossible;the Petascale Molecular Dynamics Data Processing System (MDDPS) is designed to overcome the shortcomings of desktop computer workstations and provides the necessary hardware features to enable practical interactive analysis and visualization of challenging petascale datasets. The Petascale MDDPS is a cluster of tightly coupled computers that operate as a cohesive unit to provide high-performance data analysis capabilities required by petascale MD simulations. The system is composed of synergistic storage, analysis, and visualization nodes connected internally and to external resources by separate high-speed networks. While both of the Resource's software packages, NAMD and VMD, are well-tuned to current computer hardware, harnessing the next-generation capabilities of the Petascale MDDPS hardware requires additional software development.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR005969-22
Application #
8363662
Study Section
Special Emphasis Panel (ZRG1-BCMB-E (40))
Project Start
2011-08-01
Project End
2012-09-09
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
22
Fiscal Year
2011
Total Cost
$66,312
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

Showing the most recent 10 out of 371 publications