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

2020 ◽  
Vol 142 (37) ◽  
pp. 15697-15710 ◽  
Author(s):  
Gregory-Neal W. Gomes ◽  
Mickaël Krzeminski ◽  
Ashley Namini ◽  
Erik W. Martin ◽  
Tanja Mittag ◽  
...  
2016 ◽  
Vol 110 (3) ◽  
pp. 555a-556a
Author(s):  
Hoi Sung Chung ◽  
Fanjie Meng ◽  
Jae-Yeol Kim ◽  
John M. Louis

Author(s):  
Gregory-Neal W. Gomes ◽  
Mickaël Krzeminski ◽  
Ashley Namini ◽  
Erik. W. Martin ◽  
Tanja Mittag ◽  
...  

AbstractIntrinsically 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 Förster 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 Sic1’s ultrasensitive binding to its partner Cdc4. Our results underscore the importance of integrative modelling in calculating and drawing biological conclusions from IDP conformational ensembles.


2019 ◽  
Author(s):  
Mustapha Carab Ahmed ◽  
Ramon Crehuet ◽  
Kresten Lindorff-Larsen

AbstractThe level of compaction of an intrinsically disordered protein may affect both its physical and biological properties, and can be probed via different types of biophysical experiments. Small-angle X-ray scattering (SAXS) probe the radius of gyration (Rg) whereas pulsed-field-gradient nuclear magnetic resonance (NMR) diffusion, fluorescence correlation spectroscopy and dynamic light scattering experiments can be used to determine the hydrodynamic radius (Rh). Here we show how to calculate Rg and Rh from a computationally-generated conformational ensemble of an intrinsically disordered protein. We further describe how to use a Bayesian/Maximum Entropy procedure to integrate data from SAXS and NMR diffusion experiments, so as to derive conformational ensembles in agreement with those experiments.


2021 ◽  
Author(s):  
Lukas S. Stelzl ◽  
Lisa M. Pietrek ◽  
Andrea Holla ◽  
Javier S. Oroz ◽  
Mateusz Sikora ◽  
...  

The paradigmatic disordered protein tau plays an important role in neuronal function and neurodegenerative diseases. To disentangle the factors controlling the balance between functional and disease-associated conformational states, we build a structural ensemble of the tau K18 fragment containing the four pseudorepeat domains involved in both microtubule binding and amyloid fibril formation. We assemble 129-residue-long tau K18 chains at atomic resolution from an extensive fragment library constructed with molecular dynamics simulations. We introduce a reweighted hierarchical chain growth (RHCG) algorithm that integrates experimental data reporting on the local structure into the assembly process in a systematic manner. By combining Bayesian ensemble refinement with importance sampling, we obtain well-defined ensembles and overcome the problem of exponentially varying weights in the integrative modeling of long-chain polymeric molecules. The resulting tau K18 ensembles capture nuclear magnetic resonance (NMR) chemical shift and J-coupling measurements. Without further fitting, we achieve excellent agreement with measurements of NMR residual dipolar couplings. The good agreement with experimental measures of global structures such as single-molecule Förster resonance energy transfer (FRET) efficiencies is improved further by ensemble refinement. By comparing wild-type and mutant ensembles, we show that pathogenic single-point P301 mutations shift the population from the turn-like conformations of the functional microtubule-bound state to the extended conformations of disease-associated tau fibrils. RHCG thus provides us with an atomically resolved view of the population equilibrium between functional and aggregation-prone states of tau K18, and demonstrates that global structural characteristics of this intrinsically disordered protein emerge from its local structure.


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