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Quantitative Description of Intrinsically Disordered Proteins Using Single-Molecule FRET, NMR, and SAXS
[Image: see text] Studying the conformational landscape of intrinsically disordered and partially folded proteins is challenging and only accessible to a few solution state techniques, such as nuclear magnetic resonance (NMR), small-angle scattering techniques, and single-molecule Förster resonance...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662727/ https://www.ncbi.nlm.nih.gov/pubmed/34817999 http://dx.doi.org/10.1021/jacs.1c06264 |
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author | Naudi-Fabra, Samuel Tengo, Maud Jensen, Malene Ringkjøbing Blackledge, Martin Milles, Sigrid |
author_facet | Naudi-Fabra, Samuel Tengo, Maud Jensen, Malene Ringkjøbing Blackledge, Martin Milles, Sigrid |
author_sort | Naudi-Fabra, Samuel |
collection | PubMed |
description | [Image: see text] Studying the conformational landscape of intrinsically disordered and partially folded proteins is challenging and only accessible to a few solution state techniques, such as nuclear magnetic resonance (NMR), small-angle scattering techniques, and single-molecule Förster resonance energy transfer (smFRET). While each of the techniques is sensitive to different properties of the disordered chain, such as local structural propensities, overall dimension, or intermediate- and long-range contacts, conformational ensembles describing intrinsically disordered proteins (IDPs) accurately should ideally respect all of these properties. Here we develop an integrated approach using a large set of FRET efficiencies and fluorescence lifetimes, NMR chemical shifts, and paramagnetic relaxation enhancements (PREs), as well as small-angle X-ray scattering (SAXS) to derive quantitative conformational ensembles in agreement with all parameters. Our approach is tested using simulated data (five sets of PREs and 15 FRET efficiencies) and validated experimentally on the example of the disordered domain of measles virus phosphoprotein, providing new insights into the conformational landscape of this viral protein that comprises transient structural elements and is more compact than an unfolded chain throughout its length. Rigorous cross-validation using FRET efficiencies, fluorescence lifetimes, and SAXS demonstrates the predictive nature of the calculated conformational ensembles and underlines the potential of this strategy in integrative dynamic structural biology. |
format | Online Article Text |
id | pubmed-8662727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-86627272021-12-10 Quantitative Description of Intrinsically Disordered Proteins Using Single-Molecule FRET, NMR, and SAXS Naudi-Fabra, Samuel Tengo, Maud Jensen, Malene Ringkjøbing Blackledge, Martin Milles, Sigrid J Am Chem Soc [Image: see text] Studying the conformational landscape of intrinsically disordered and partially folded proteins is challenging and only accessible to a few solution state techniques, such as nuclear magnetic resonance (NMR), small-angle scattering techniques, and single-molecule Förster resonance energy transfer (smFRET). While each of the techniques is sensitive to different properties of the disordered chain, such as local structural propensities, overall dimension, or intermediate- and long-range contacts, conformational ensembles describing intrinsically disordered proteins (IDPs) accurately should ideally respect all of these properties. Here we develop an integrated approach using a large set of FRET efficiencies and fluorescence lifetimes, NMR chemical shifts, and paramagnetic relaxation enhancements (PREs), as well as small-angle X-ray scattering (SAXS) to derive quantitative conformational ensembles in agreement with all parameters. Our approach is tested using simulated data (five sets of PREs and 15 FRET efficiencies) and validated experimentally on the example of the disordered domain of measles virus phosphoprotein, providing new insights into the conformational landscape of this viral protein that comprises transient structural elements and is more compact than an unfolded chain throughout its length. Rigorous cross-validation using FRET efficiencies, fluorescence lifetimes, and SAXS demonstrates the predictive nature of the calculated conformational ensembles and underlines the potential of this strategy in integrative dynamic structural biology. American Chemical Society 2021-11-24 2021-12-08 /pmc/articles/PMC8662727/ /pubmed/34817999 http://dx.doi.org/10.1021/jacs.1c06264 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Naudi-Fabra, Samuel Tengo, Maud Jensen, Malene Ringkjøbing Blackledge, Martin Milles, Sigrid Quantitative Description of Intrinsically Disordered Proteins Using Single-Molecule FRET, NMR, and SAXS |
title | Quantitative
Description of Intrinsically Disordered
Proteins Using Single-Molecule FRET, NMR, and SAXS |
title_full | Quantitative
Description of Intrinsically Disordered
Proteins Using Single-Molecule FRET, NMR, and SAXS |
title_fullStr | Quantitative
Description of Intrinsically Disordered
Proteins Using Single-Molecule FRET, NMR, and SAXS |
title_full_unstemmed | Quantitative
Description of Intrinsically Disordered
Proteins Using Single-Molecule FRET, NMR, and SAXS |
title_short | Quantitative
Description of Intrinsically Disordered
Proteins Using Single-Molecule FRET, NMR, and SAXS |
title_sort | quantitative
description of intrinsically disordered
proteins using single-molecule fret, nmr, and saxs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662727/ https://www.ncbi.nlm.nih.gov/pubmed/34817999 http://dx.doi.org/10.1021/jacs.1c06264 |
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