Computation Core (Voth. Director) Overview Our Computation Core provides access to leading edge theory and simulation capability in atomistic molecular dynamics, coarse-graining, and multiscale modeling. While the proposed initial focus of this facility will be on HIV capsid assembly and stability, the Computation Core facility expertise will be available to all Center participants.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM082545-08
Application #
8728909
Study Section
Special Emphasis Panel (ZRG1-AARR-K)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
8
Fiscal Year
2014
Total Cost
$138,646
Indirect Cost
Name
University of Utah
Department
Type
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
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Wagner, Jonathan M; Christensen, Devin E; Bhattacharya, Akash et al. (2018) General Model for Retroviral Capsid Pattern Recognition by TRIM5 Proteins. J Virol 92:
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Bailey, Lucas J; Sheehy, Kimberly M; Dominik, Pawel K et al. (2018) Locking the Elbow: Improved Antibody Fab Fragments as Chaperones for Structure Determination. J Mol Biol 430:337-347
Pak, Alexander J; Voth, Gregory A (2018) Advances in coarse-grained modeling of macromolecular complexes. Curr Opin Struct Biol 52:119-126
Redman, Joseph S; Francis, J Nicholas; Marquardt, Robert et al. (2018) Pharmacokinetic and Chemical Synthesis Optimization of a Potent d-Peptide HIV Entry Inhibitor Suitable for Extended-Release Delivery. Mol Pharm 15:1169-1179
Larsen, Kevin P; Mathiharan, Yamuna Kalyani; Kappel, Kalli et al. (2018) Architecture of an HIV-1 reverse transcriptase initiation complex. Nature 557:118-122
Carter, Stephen D; Mageswaran, Shrawan K; Farino, Zachary J et al. (2018) Distinguishing signal from autofluorescence in cryogenic correlated light and electron microscopy of mammalian cells. J Struct Biol 201:15-25
Shepherd, Jason D (2018) Arc - An endogenous neuronal retrovirus? Semin Cell Dev Biol 77:73-78

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