The purpose of Computational Chemistry sub-Core is to provide computational/modeling support for the investigators within the Program Projects. Computational chemistry and molecular modeling techniques will be used to gain structural/functional insight into specific molecular interactions present in the biomolecular complexes studied within different projects of the PPG. This sub-Core will integrate experimental data produced by Projects and other Cores in the Program with theoretical methods in order to produce structural information needed to elucidate the nature of interactions in these biosystems and the relationship between their structure and function. For example, the sub-Core will provide atomistic models for biomolecular complexes like protein L13A-RNA complex, eNOS complex with HSP-90 and caveolin, and HDL-PON1-MPO complex, which are investigated in Projects 3, 2 and 1, respectively, using molecular visualization/building programs (Pymol, SwissPDBViewer, Autodock4 and Modeller), and hydrogen-deuterium exchange and small angle neutron and X-ray scattering calculations. The interaction interface between different components of the complexes will be constructed using docking (Autodock4). The docking experiments will identify specific interactions between amino acid residues for protein-protein complexes, or between RNA nucleotides with amino acid residues for RNA-protein complexes, or between amino acid residues and lipids for lipoproteins. All solvated systems will be subjected to molecular dynamics simulations. The trajectory resulted from the simulation will be analyzed to determine the change in the conformation during simulation, the change in the pattern of H-bonds and salt-bridges, the change in the secondary structure and so forth. To investigate conformational changes that occur on a microsecond scale and are important for the functionality of the biomolecular system, coarse-grained simulations will be performed in which atoms are grouped together in beads and a bead-to-bead simplified force field is used. The theoretical understanding resulted from the computational/modeling investigation will be further used by the Projects to design new experiments.

Public Health Relevance

This sub-Core will provide modeling support in defining the detailed atomistic structures in solution for different protein-protein, protein-RNA and protein-lipid complexes investigated in Projects 1, 2 and 3. The sub-Core personnel will interact with other researchers working in the Projects in order to facilitate the design of new experiments suggested by theoretical insigths obained from the computational analyses.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL076491-07
Application #
8215970
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Project Start
2011-02-01
Project End
2015-01-31
Budget Start
2011-02-01
Budget End
2012-01-31
Support Year
7
Fiscal Year
2011
Total Cost
$261,775
Indirect Cost
Name
Cleveland Clinic Lerner
Department
Type
DUNS #
135781701
City
Cleveland
State
OH
Country
United States
Zip Code
44195
Szpak, Dorota; Izem, Lahoucine; Verbovetskiy, Dmitriy et al. (2018) ?M?2 Is Antiatherogenic in Female but Not Male Mice. J Immunol 200:2426-2438
Sarvestani, Samaneh K; Signs, Steven A; Lefebvre, Veronique et al. (2018) Cancer-predicting transcriptomic and epigenetic signatures revealed for ulcerative colitis in patient-derived epithelial organoids. Oncotarget 9:28717-28730
Li, Xinmin S; Wang, Zeneng; Cajka, Tomas et al. (2018) Untargeted metabolomics identifies trimethyllysine, a TMAO-producing nutrient precursor, as a predictor of incident cardiovascular disease risk. JCI Insight 3:
Arif, Abul; Yao, Peng; Terenzi, Fulvia et al. (2018) The GAIT translational control system. Wiley Interdiscip Rev RNA 9:
Eswarappa, Sandeep M; Potdar, Alka A; Sahoo, Sarthak et al. (2018) Metabolic origin of the fused aminoacyl-tRNA synthetase, glutamyl-prolyl-tRNA synthetase. J Biol Chem 293:19148-19156
Halawani, Dalia; Gogonea, Valentin; DiDonato, Joseph A et al. (2018) Structural control of caspase-generated glutamyl-tRNA synthetase by appended noncatalytic WHEP domains. J Biol Chem 293:8843-8860
Brown, J Mark; Hazen, Stanley L (2018) Microbial modulation of cardiovascular disease. Nat Rev Microbiol 16:171-181
Senthong, Vichai; Hudec, Timothy; Neale, Sarah et al. (2017) Relation of Red Cell Distribution Width to Left Ventricular End-Diastolic Pressure and Mortality in Patients With and Without Heart Failure. Am J Cardiol 119:1421-1427
Pamir, Nathalie; Hutchins, Patrick M; Ronsein, Graziella E et al. (2017) Plasminogen promotes cholesterol efflux by the ABCA1 pathway. JCI Insight 2:
Arif, Abul; Terenzi, Fulvia; Potdar, Alka A et al. (2017) EPRS is a critical mTORC1-S6K1 effector that influences adiposity in mice. Nature 542:357-361

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