Literature DB >> 29548755

On the Calculation of SAXS Profiles of Folded and Intrinsically Disordered Proteins from Computer Simulations.

João Henriques1, Lise Arleth2, Kresten Lindorff-Larsen3, Marie Skepö4.   

Abstract

Solution techniques such as small-angle X-ray scattering (SAXS) play a central role in structural studies of intrinsically disordered proteins (IDPs); yet, due to low resolution, it is generally necessary to combine SAXS with additional experimental sources of data and to use molecular simulations. Computational methods for the calculation of theoretical SAXS intensity profiles can be separated into two groups, depending on whether the solvent is modeled implicitly as continuous electron density or considered explicitly. The former offers reduced computational cost but requires the definition of a number of free parameters to account for, for example, the excess density of the solvation layer. Overfitting can thus be an issue, particularly when the structural ensemble is unknown. Here, we investigate and show how small variations of the contrast of the hydration shell, δρ, severely affect the outcome, analysis and interpretation of computed SAXS profiles for folded and disordered proteins. For both the folded and disordered proteins studied here, using a default δρ may, in some cases, result in the calculation of non-representative SAXS profiles, leading to an overestimation of their size and a misinterpretation of their structural nature. The solvation layer of the different IDP simulations also impacts their size estimates differently, depending on the protein force field used. The same is not true for the folded protein simulations, suggesting differences in the solvation of the two classes of proteins, and indicating that different force fields optimized for IDPs may cause expansion of the polypeptide chain through different physical mechanisms.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  SAXS; conformational ensemble; hydration shell; intrinsically disordered protein; molecular dynamics

Mesh:

Substances:

Year:  2018        PMID: 29548755     DOI: 10.1016/j.jmb.2018.03.002

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  17 in total

1.  BEES: Bayesian Ensemble Estimation from SAS.

Authors:  Samuel Bowerman; Joseph E Curtis; Joseph Clayton; Emre H Brookes; Jeff Wereszczynski
Journal:  Biophys J       Date:  2019-07-18       Impact factor: 4.033

2.  Structural Characterization of N-WASP Domain V Using MD Simulations with NMR and SAXS Data.

Authors:  Maud Chan-Yao-Chong; Célia Deville; Louise Pinet; Carine van Heijenoort; Dominique Durand; Tâp Ha-Duong
Journal:  Biophys J       Date:  2019-02-26       Impact factor: 4.033

Review 3.  The role of small-angle scattering in structure-based screening applications.

Authors:  Po-Chia Chen; Janosch Hennig
Journal:  Biophys Rev       Date:  2018-10-10

4.  Generation of the configurational ensemble of an intrinsically disordered protein from unbiased molecular dynamics simulation.

Authors:  Utsab R Shrestha; Puneet Juneja; Qiu Zhang; Viswanathan Gurumoorthy; Jose M Borreguero; Volker Urban; Xiaolin Cheng; Sai Venkatesh Pingali; Jeremy C Smith; Hugh M O'Neill; Loukas Petridis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

5.  Refining conformational ensembles of flexible proteins against small-angle x-ray scattering data.

Authors:  Francesco Pesce; Kresten Lindorff-Larsen
Journal:  Biophys J       Date:  2021-10-08       Impact factor: 4.033

6.  Effects of Familial Alzheimer's Disease Mutations on the Folding Free Energy and Dipole-Dipole Interactions of the Amyloid β-Peptide.

Authors:  Darcy S Davidson; Joshua A Kraus; Julia M Montgomery; Justin A Lemkul
Journal:  J Phys Chem B       Date:  2022-09-23       Impact factor: 3.466

7.  Dynamical Oligomerisation of Histidine Rich Intrinsically Disordered ProteinS Is Regulated through Zinc-Histidine Interactions.

Authors:  Carolina Cragnell; Lasse Staby; Samuel Lenton; Birthe B Kragelund; Marie Skepö
Journal:  Biomolecules       Date:  2019-04-30

8.  Intrinsically Disordered Proteins: Structure, Function and Therapeutics.

Authors:  Jianhan Chen; Richard W Kriwacki
Journal:  J Mol Biol       Date:  2018-06-12       Impact factor: 5.469

9.  Refinement of α-Synuclein Ensembles Against SAXS Data: Comparison of Force Fields and Methods.

Authors:  Mustapha Carab Ahmed; Line K Skaanning; Alexander Jussupow; Estella A Newcombe; Birthe B Kragelund; Carlo Camilloni; Annette E Langkilde; Kresten Lindorff-Larsen
Journal:  Front Mol Biosci       Date:  2021-04-22

10.  Using Open Data to Rapidly Benchmark Biomolecular Simulations: Phospholipid Conformational Dynamics.

Authors:  Hanne S Antila; Tiago M Ferreira; O H Samuli Ollila; Markus S Miettinen
Journal:  J Chem Inf Model       Date:  2021-01-26       Impact factor: 4.956

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