Bayesian inference of protein ensembles from SAXS data.

@article{Antonov2016BayesianIO,
  title={Bayesian inference of protein ensembles from SAXS data.},
  author={Lubomir D. Antonov and Simon Olsson and Wouter Boomsma and Thomas Hamelryck},
  journal={Physical chemistry chemical physics : PCCP},
  year={2016},
  volume={18 8},
  pages={
          5832-8
        }
}
The inherent flexibility of intrinsically disordered proteins (IDPs) and multi-domain proteins with intrinsically disordered regions (IDRs) presents challenges to structural analysis. These macromolecules need to be represented by an ensemble of conformations, rather than a single structure. Small-angle X-ray scattering (SAXS) experiments capture ensemble-averaged data for the set of conformations. We present a Bayesian approach to ensemble inference from SAXS data, called Bayesian ensemble… CONTINUE READING
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