Computational Modeling of Protein Kinase A and Comparison with Nuclear Magnetic Resonance Data
2009-10-07
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Computational Modeling of Protein Kinase A and Comparison with Nuclear Magnetic Resonance Data
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2009-10-07
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Abstract
Protein phosphorylation is fundamental in the modulation of myocardial contractility.
Sarcoendoplasmic reticulum Ca2+ ATPase(SERCA) removes cytosolic Ca2+ to initiate
relaxation, but the regulatory protein, phospholamban(PLN), decreases SERCA’s
affinity for free Ca2+. Phosphorylation of PLN by Protein Kinase A (PKA) induces a
relief of inhibition on SERCA and augments the rate of SERCA Ca2+ uptake. Here, we
studied the interaction between PKA and PLN by nuclear magnetic resonance (NMR),
computational docking and molecular dynamics (MD) simulations. Comparative
simulations of PKA apo, binary and ternary states were performed, which provided
molecular details to understand the mechanism of PKA substrate recognition.
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Financial support was kindly provided by a Doctoral Dissertation
Fellowship from the Graduate School, University of Minnesota
and National Institute of Health (NIH) grant to Gianluigi Veglia (NIH
GM64742, K02HL080081). The computational resources were
provided by the Minnesota Supercomputing Institute (MSI). Veglia
group members have provided a lot of helpful discussions.
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Shi, Lei; Veglia, Gianluigi. (2009). Computational Modeling of Protein Kinase A and Comparison with Nuclear Magnetic Resonance Data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/57964.
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