The Center for Macromolecular Modeling and Bioinformatics develops software tools to model cellular processes in atomic detail. An experienced, multidisciplinary team of researchers at the Center provides for the biomedical research community a computational microscope equipped with molecular visualization, sequence, structure and dynamics analysis, and collaborates with leading experimental laboratories. The Center will expand the use of its computational tools to a broad range of biomedical research problems and provide easy access to these tools for the biomedical research community. In the next funding period, the Center will pursue the following specific aims: Raise performance, efficiency, and accuracy of simulations for cellular processes. Facilitate innovation in the biomedical research community by providing accessible simulation tools supporting, in particular, enhanced sampling, coarse-grained models, and quantum effects; Support visualization and analysis of biomolecular systems with powerful, customizable software packages, integrating multi-modal structure viewing and analysis with model building and simulation tools; Enhance performance for visualization, analysis, and modeling of large size and long timescale cellular processes by exploiting emerging technologies such as graphics processor accelerators and solid state disks; Develop methods to model large cellular domains such as membrane environments; improve tools for structure prediction and refinement, e.g., for large, flexible protein-RNA assemblies. Scale coarse-grained simulation methods to eukaryotic-sized cells; Drive the development of novel computational tools and methods through collaborations with both theoretical and experimental laboratories; Enhance service, training, and dissemination, providing a cutting edge computational laboratory, hands-on training, first-rate educational material, and an extensive, widely-used website to biomedical researchers.

Public Health Relevance

The Center for Macromolecular Modeling and Bioinformatics pioneers computer-based biomedical research into cellular processes and nanoengineering. The Center makes emerging technologies available to the biomedical research community, develops powerful simulation tools for biomolecular processes related to health and disease, and provides these tools to the greater biomedical community for the purpose of developing new diagnostic tools and drug treatments.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Biotechnology Resource Grants (P41)
Project #
5P41GM104601-26
Application #
8898845
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Krepkiy, Dmitriy
Project Start
1997-08-01
Project End
2016-07-31
Budget Start
2015-08-01
Budget End
2016-07-31
Support Year
26
Fiscal Year
2015
Total Cost
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
Jiang, Wei; Thirman, Jonathan; Jo, Sunhwan et al. (2018) Reduced Free Energy Perturbation/Hamiltonian Replica Exchange Molecular Dynamics Method with Unbiased Alchemical Thermodynamic Axis. J Phys Chem B 122:9435-9442
Winogradoff, David; Aksimentiev, Aleksei (2018) Molecular Mechanism of Spontaneous Nucleosome Unraveling. J Mol Biol :
Milles, Lukas F; Schulten, Klaus; Gaub, Hermann E et al. (2018) Molecular mechanism of extreme mechanostability in a pathogen adhesin. Science 359:1527-1533
Carnevale, Lauren N; Arango, Andres S; Arnold, William R et al. (2018) Endocannabinoid Virodhamine Is an Endogenous Inhibitor of Human Cardiovascular CYP2J2 Epoxygenase. Biochemistry 57:6489-6499
Guo, Qiang; Lehmer, Carina; Martínez-Sánchez, Antonio et al. (2018) In Situ Structure of Neuronal C9orf72 Poly-GA Aggregates Reveals Proteasome Recruitment. Cell 172:696-705.e12
Mahinthichaichan, Paween; Morris, Dylan M; Wang, Yi et al. (2018) Selective Permeability of Carboxysome Shell Pores to Anionic Molecules. J Phys Chem B 122:9110-9118
Kerr, Daniel; Tietjen, Gregory T; Gong, Zhiliang et al. (2018) Sensitivity of peripheral membrane proteins to the membrane context: A case study of phosphatidylserine and the TIM proteins. Biochim Biophys Acta Biomembr 1860:2126-2133
Ohmann, Alexander; Li, Chen-Yu; Maffeo, Christopher et al. (2018) A synthetic enzyme built from DNA flips 107 lipids per second in biological membranes. Nat Commun 9:2426
Scheurer, Maximilian; Rodenkirch, Peter; Siggel, Marc et al. (2018) PyContact: Rapid, Customizable, and Visual Analysis of Noncovalent Interactions in MD Simulations. Biophys J 114:577-583
Sun, Chang; Benlekbir, Samir; Venkatakrishnan, Padmaja et al. (2018) Structure of the alternative complex III in a supercomplex with cytochrome oxidase. Nature 557:123-126

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