2010
DOI: 10.1021/ja105832g
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Modeling Intrinsically Disordered Proteins with Bayesian Statistics

Abstract: The characterization of intrinsically disordered proteins is challenging because accurate models of these systems require a description of both their thermally accessible conformers and the associated relative stabilities or weights. These structures and weights are typically chosen such that calculated ensemble averages agree with some set of prespecified experimental measurements; however, the large number of degrees of freedom in these systems typically leads to multiple conformational ensembles that are de… Show more

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Cited by 165 publications
(315 citation statements)
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“…Ensemble modeling has been believed to be the most accurate way to describe the 3D structures of IDPs (Choy and Forman-Kay, 2001;Fisher et al, 2010;Fisher and Stultz, 2011). In general, a structure ensemble consists of two parts: a set of 3D structures and the corresponding weights that describe the likelihoods of individual conformations.…”
Section: Introductionmentioning
confidence: 99%
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“…Ensemble modeling has been believed to be the most accurate way to describe the 3D structures of IDPs (Choy and Forman-Kay, 2001;Fisher et al, 2010;Fisher and Stultz, 2011). In general, a structure ensemble consists of two parts: a set of 3D structures and the corresponding weights that describe the likelihoods of individual conformations.…”
Section: Introductionmentioning
confidence: 99%
“…When experimental data (e.g., chemical shifts, nuclear Overhauser effect (NOE) distances, and residual dipolar couplings) are available, the 3D structures and their weights are often constructed to optimally match these experimental observations. In the literature, numerous approaches have been proposed to construct 3D structure ensembles of IDPs from experimental data ( Jensen et al, 2010;Nodet et al, 2009;Marsh and Forman-Kay, 2009;Ganguly and Chen, 2009;Fisher et al, 2010). These approaches can be roughly divided into two categories (Fisher and Stultz, 2011).…”
Section: Introductionmentioning
confidence: 99%
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