Double Electron-Electron Resonance (DEER) spectroscopy is a solid-state pulse Electron Paramagnetic Resonance (EPR) experiment that measures distances between unpaired electrons, most commonly between protein-bound spin labels separated by 1.5–8 nm. From the experimental data, a distance distribution P(r) is extracted using Tikhonov regularization. The disadvantage of this method is that it does not directly provide error bars for the resulting P(r), rendering correct interpretation difficult. Here we introduce a Bayesian statistical approach that quantifies uncertainty in P(r) arising from noise and numerical regularization. This method provides credible intervals (error bars) of P(r) at each r. This allows practitioners to answer whether or not small features are significant, whether or not apparent shoulders are significant, and whether or not two distance distributions are significantly different from each other. In addition, the method quantifies uncertainty in the regularization parameter.

Tikhonov regularization is the most commonly used method for extracting distance distributions from experimental double electron-electron resonance (DEER) spectroscopy data. This method requires the selection of a regularization parameter, α, and a regularization operator, L. We analyze the performance of a large set of α selection methods and several regularization operators, using a test set of over half a million synthetic noisy DEER traces. These are generated from distance distributions obtained from in silico double labeling of a protein crystal structure of T4 lysozyme with the spin label MTSSL. We compare the methods and operators based on their ability to recover the model distance distributions from the noisy time traces. The results indicate that several α selection methods perform quite well, among them the Akaike information criterion and the generalized cross validation method with either the first- or second-derivative operator. They perform significantly better than currently utilized L-curve methods.

A method is described for fabricating 25-75 mum thick fused quartz membranes containing a single conical shaped nanopore (orifice radius ranging from 10 to 1000 nm). The quartz nanopore membrane (QNM) provides an excellent solid support structure for lipid bilayers in ion channel recordings due to the large electrical resistivity of fused quartz. Electrical measurements demonstrate that the leakage current through 1,2-diphytanoyl-sn-glycero-3-phosphocholine (DPhPC) bilayers suspended across a 500-1000 nm radius QNM orifice is immeasurably small, corresponding to a bilayer resistance greater than 10(12) ohms. Translocation of single-stranded DNA oligomers (poly dA 50-mer and poly dA 20-mer) through a protein ion channel (alpha-hemolysin) reconstituted in a DPhPC bilayer suspended across the QNM orifice is demonstrated.

In vivo and whole-cell NMR is currently being developed to circumvent the caveats of working with in vitro model systems. However, the complexity and heavy spectral overlap of whole-cell NMR spectra is tremendous and specific labelling of a single biological target is not always possible for all molecules of interest. Herein we will describe our recent results on the NMR study of an intact fully 13

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