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Conformational Ensembles of an Intrinsically Disordered Protein Consistent with NMR, SAXS, and Single-Molecule FRET. | LitMetric

AI Article Synopsis

  • Intrinsically disordered proteins (IDPs) are difficult to characterize due to their constantly changing structures, but understanding their conformations is important for linking their sequences to their functions.
  • The study used integrative modeling to combine various experimental techniques like NMR, SAXS, and smFRET to build a reliable model of the disordered Sic1 protein's ensemble.
  • The findings demonstrated that these modeling techniques reveal key features of Sic1's structure, helping understand its specific binding behavior, and highlight the need for thorough data integration when studying IDPs.

Article Abstract

Intrinsically disordered proteins (IDPs) have fluctuating heterogeneous conformations, which makes their structural characterization challenging. Although challenging, characterization of the conformational ensembles of IDPs is of great interest, since their conformational ensembles are the link between their sequences and functions. An accurate description of IDP conformational ensembles depends crucially on the amount and quality of the experimental data, how it is integrated, and if it supports a consistent structural picture. We used integrative modeling and validation to apply conformational restraints and assess agreement with the most common structural techniques for IDPs: Nuclear Magnetic Resonance (NMR) spectroscopy, Small-angle X-ray Scattering (SAXS), and single-molecule Förster Resonance Energy Transfer (smFRET). Agreement with such a diverse set of experimental data suggests that details of the generated ensembles can now be examined with a high degree of confidence. Using the disordered N-terminal region of the Sic1 protein as a test case, we examined relationships between average global polymeric descriptions and higher-moments of their distributions. To resolve apparent discrepancies between smFRET and SAXS inferences, we integrated SAXS data with NMR data and reserved the smFRET data for independent validation. Consistency with smFRET, which was not guaranteed , indicates that, globally, the perturbative effects of NMR or smFRET labels on the Sic1 ensemble are minimal. Analysis of the ensembles revealed distinguishing features of Sic1, such as overall compactness and large end-to-end distance fluctuations, which are consistent with biophysical models of Sic1's ultrasensitive binding to its partner Cdc4. Our results underscore the importance of integrative modeling and validation in generating and drawing conclusions from IDP conformational ensembles.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987321PMC
http://dx.doi.org/10.1021/jacs.0c02088DOI Listing

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