4.5 Article

The Conformational Ensembles of α-Synuclein and Tau: Combining Single-Molecule FRET and Simulations

期刊

BIOPHYSICAL JOURNAL
卷 103, 期 9, 页码 1940-1949

出版社

CELL PRESS
DOI: 10.1016/j.bpj.2012.09.032

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资金

  1. National Science Foundation [DMS-0835742, MCB-0919853]
  2. Ellison Medical Foundation
  3. American Heart Association Postdoctoral Fellowship
  4. Academy of Finland
  5. National Institute of Health [GM007223]
  6. Raymond and Beverly Sackler Institute for Biological, Physical, and Engineering Sciences
  7. European Union Seventh Framework Programme [293861]
  8. National Science Foundation (NSF) [CNS-0821132]
  9. Div Of Molecular and Cellular Bioscience
  10. Direct For Biological Sciences [0919853] Funding Source: National Science Foundation

向作者/读者索取更多资源

Intrinsically disordered proteins (IDPs) are increasingly recognized for their important roles in a range of biological contexts, both in normal physiological function and in a variety of devastating human diseases. However, their structural characterization by traditional biophysical methods, for the purposes of understanding their function and dysfunction, has proved challenging. Here, we investigate the model IDPs alpha-Synuclein (alpha S) and tau, that are involved in major neurodegenerative conditions including Parkinson's and Alzheimer's diseases, using excluded volume Monte Carlo simulations constrained by pairwise distance distributions from single-molecule fluorescence measurements. Using this, to our knowledge, novel approach we find that a relatively small number of intermolecular distance constraints are sufficient to accurately determine the dimensions and polymer conformational statistics of alpha S and tau in solution. Moreover, this method can detect local changes in alpha S and tau conformations that correlate with enhanced aggregation. Constrained Monte Carlo simulations produce ensembles that are in excellent agreement both with experimental measurements on alpha S and tau and with all-atom, explicit solvent molecular dynamics simulations of alpha S, with much lower configurational sampling requirements and computational expense.

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