Deducing conformational variability of intrinsically disordered proteins from infrared spectroscopy with Bayesian statistics.

ABSTRACT: As it remains practically impossible to generate ergodic ensembles for large intrinsically disordered proteins (IDP) with molecular dynamics (MD) simulations, it becomes critical to compare spectroscopic characteristics of the theoretically generated ensembles to corresponding measurements. We develop a Bayesian framework to infer the ensemble properties of an IDP using a combination of conformations generated by MD simulations and its measured infrared spectrum. We performed 100 different MD simulations totaling more than 10 µs to characterize the conformational ensemble of αsynuclein, a prototypical IDP, in water. These conformations are clustered based on solvent accessibility and helical content. We compute the amide-I band for these clusters and predict the thermodynamic weights of ea

SUBMITTER: Sethi A 

PROVIDER: S-EPMC3810979 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature