An important outcome of the recent protein structure initiative is the discovery of numerous protein families that do not form compact rigid structures. These intrinsically unstructured proteins (IUPs) are common in nature and disrupting their function can also result in the onset of certain diseases. We believe that to understand the function of IUPs it is crucial to generate realistic structural ensembles. Such ensembles are difficult to generate for IUPs where experiments predict broad, heterogeneous ensembles of structures that undergo large-scale conformational fluctuations. Experimentally restrained ensembles of loop regions in structured proteins are also difficult to reliably compare to the equilibrium ensemble. We are interested in testing two hypotheses through the use of combined computational and experimental approaches: (i) Experimental data for IUPs which are based on average measurements can be used to generate useful structural ensembles. (ii) These ensembles must be properly weighted in the equilibrium distribution to be useful for understanding protein function. In an effort to expand our understanding of how well experimentally restrained ensembles of unstructured proteins represent the equilibrium ensemble, coarse-graining will be used to generate large ensembles that are restrained using average distance and dihedral angle measurements from nuclear magnetic resonance (NMR) spectroscopy experiments. These structurally diverse ensembles will extend previous work in this area by more thoroughly sampling conformational space. These ensembles will then be re-weighted using non-rigorous methods based on fitting data from small angle x-ray scattering and residual dipolar couplings. We will also extend a rigorous re-weighting approach to loops in structured proteins. These goals will be accomplished through the following Specific Aims:
Aim 1 : Generate large NMR ensembles for IUPs using coarse-graining.
Aim 2 : Re-weight NMR ensembles using non-rigorous methods.
Aim 3 : Extend rigorous re-weighting approach to protein loops.
Aim 4 : Create and maintain website. The proposed research will give valuable insight into the structure and function of protein loops and IDPs. The resulting software will provide us with a means to distinguish the biologically relevant structures from those that are not relevant.

Public Health Relevance

The proposed research project will give insight into protein structure and function. Thus, our understanding of diseases caused by protein dysfunction will be enhanced.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21GM083827-02
Application #
7932050
Study Section
Macromolecular Structure and Function D Study Section (MSFD)
Program Officer
Wehrle, Janna P
Project Start
2009-09-14
Project End
2012-02-29
Budget Start
2010-09-01
Budget End
2012-02-29
Support Year
2
Fiscal Year
2010
Total Cost
$187,771
Indirect Cost
Name
University of Idaho
Department
Physics
Type
Schools of Arts and Sciences
DUNS #
075746271
City
Moscow
State
ID
Country
United States
Zip Code
83844
Zhan, Yingqian Ada; Ytreberg, F Marty (2015) The cis conformation of proline leads to weaker binding of a p53 peptide to MDM2 compared to trans. Arch Biochem Biophys 575:22-9
Miller, Craig R; Lee, Kuo Hao; Wichman, Holly A et al. (2014) Changing folding and binding stability in a viral coat protein: a comparison between substitutions accessible through mutation and those fixed by natural selection. PLoS One 9:e112988
Zhan, Yingqian Ada; Wu, Hongwei; Powell, Anne T et al. (2013) Impact of the K24N mutation on the transactivation domain of p53 and its binding to murine double-minute clone 2. Proteins 81:1738-47
Kashtanov, Stepan; Borcherds, Wade; Wu, Hongwei et al. (2012) Using chemical shifts to assess transient secondary structure and generate ensemble structures of intrinsically disordered proteins. Methods Mol Biol 895:139-52
Daughdrill, Gary W; Kashtanov, Stepan; Stancik, Amber et al. (2012) Understanding the structural ensembles of a highly extended disordered protein. Mol Biosyst 8:308-19
Shyu, Conrad; Cavileer, Timothy D; Nagler, James J et al. (2011) Computational estimation of rainbow trout estrogen receptor binding affinities for environmental estrogens. Toxicol Appl Pharmacol 250:322-6
Ytreberg, F Marty (2010) Computational study of small molecule binding for both tethered and free conditions. J Phys Chem B 114:5431-4
Shyu, Conrad; Brown, Celeste J; Ytreberg, F Marty (2010) Computational study of evolutionary selection pressure on rainbow trout estrogen receptors. PLoS One 5:e9392
Ytreberg, F Marty (2009) Absolute FKBP binding affinities obtained via nonequilibrium unbinding simulations. J Chem Phys 130:164906