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Bayesian inference of protein ensembles from SAXS data

Published:2016 Issue:8 Volume:18 Page:5832-5838
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Antonov L. D.¹²³⁴⁵^ORCID,Olsson S.⁶⁷⁸⁹¹⁰^ORCID,Boomsma W.¹¹²³⁴⁵^ORCID,Hamelryck T.¹²³⁴⁵^ORCID

Affiliation:

1. Bioinformatics Centre

2. Department of Biology

3. University of Copenhagen

4. Ole Maaloes Vej 5

5. Denmark

6. Laboratory of Physical Chemistry

7. Swiss Federal Institute of Technology

8. ETH-Hönggerberg

9. Vladimir-Prelog-Weg 2

10. CH-8093 Zürich

11. Structural Biology and NMR Laboratory

Abstract

A probabilistic method infers ensembles of intrinsically disordered proteins (IDPs) by combining SAXS data with a force field.

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2016/CP/C5CP04886A

Reference54 articles.

1. Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm

2. Unstructural biology coming of age

3. On the supertertiary structure of proteins

4. Hamiltonian Switch Metropolis Monte Carlo Simulations for Improved Conformational Sampling of Intrinsically Disordered Regions Tethered to Ordered Domains of Proteins

5. Intrinsically disordered proteins and their (disordered) proteomes in neurodegenerative disorders

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