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bioRxiv · 10.1101/2020.02.05.935890

Integrating smFRET, SAXS and NMR data to infer structural ensembles of an intrinsically-disordered protein

Gomes, G.-N. W.·Krzeminski, M.·Martin, E.·Mittag, T.·Head-Gordon, T.·Forman-Kay, J.·Gradinaru, C.
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Abstract

Intrinsically disordered proteins (IDPs) have fluctuating heterogeneous conformations, which makes structural characterization challenging, but 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 have used an integrative modelling approach to understand how conformational restraints imposed by the most common structural techniques for IDPs: Nuclear Magnetic Resonance (NMR) spectroscopy, Small-angle X-ray Scattering (SAXS), and single-molecule Forster Resonance Energy Transfer (smFRET) reach concordance on structural ensembles for Sic1 and phosphorylated Sic1 (pSic1). To resolve apparent discrepancies between smFRET and SAXS, we integrated SAXS data with non-smFRET (NMR) data and reserved the new smFRET data for Sic1 and pSic1 as an independent validation. The consistency of the SAXS/NMR restrained ensembles with smFRET, which was not guaranteed a priori, indicates that the perturbative effects of NMR or smFRET labels on the Sic1 and pSic1 ensembles are minimal. Furthermore, the mutual agreement with such a diverse set of experimental data suggest that details of the generated ensembles can now be examined with a high degree of confidence to reveal distinguishing features of Sic1 vs. pSic1. From the experimentally well supported ensembles, we find they are consistent with independent biophysical models of Sic1s ultrasensitive binding to its partner Cdc4. Our results underscore the importance of integrative modelling in calculating and drawing biological conclusions from IDP conformational ensembles.

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Gomes, G.-N. W., Krzeminski, M., Martin, E., Mittag, T., Head-Gordon, T., Forman-Kay, J., Gradinaru, C.. 2020-02-06. Integrating smFRET, SAXS and NMR data to infer structural ensembles of an intrinsically-disordered protein. https://doi.org/10.1101/2020.02.05.935890

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