Distance distribution information obtained by pulsed dipolar EPR spectroscopy provides an important contribution to many studies in structural biology. Increasingly, such information is used in integrative structural modeling, where it delivers unique restraints on the width of conformational ensembles. In order to ensure reliability of the structural models and of biological conclusions, we herein define quality standards for sample preparation and characterization, for measurements of distributed dipole–dipole couplings between paramagnetic labels, for conversion of the primary time-domain data into distance distributions, for interpreting these distributions, and for reporting results. These guidelines are substantiated by a multi-laboratory benchmark study and by analysis of data sets with known distance distribution ground truth. The study and the guidelines focus on proteins labeled with nitroxides and on double electron–electron resonance (DEER aka PELDOR) measurements and provide suggestions on how to proceed analogously in other cases.

EPR-based nanometre distance measurements are becoming ever more important in structural biology. Usually the distance constraints are measured between two nitroxide spin labels. Yet, distance measurements between a metal center and spin labels enable, e.g., the localization of metal ions within the tertiary fold of biomolecules. Therefore, it is important to find methods that provide such distance information quickly, with high precision and reliability. In the present study, two methods, pulsed electron-electron double resonance (PELDOR) and relaxation-induced dipolar modulation enhancement (RIDME), are compared on the heme-containing and spin-labeled cytochrome P450cam. Special emphasis is put on the optimization of the dead-time free RIDME experiment and several ways of data analysis. It turned out that RIDME appears to be better suited for distance measurements involving metal ions like low-spin Fe(3+) than PELDOR.

Nanometer distance measurements based on electron paramagnetic resonance methods in combination with site-directed spin labelling are powerful tools for the structural analysis of macromolecules. The software package mtsslSuite provides scientists with a set of tools for the translation of experimental distance distributions into structural information. The package is based on the previously published mtsslWizard software for in silico spin labelling. The mtsslSuite includes a new version of MtsslWizard that has improved performance and now includes additional types of spin labels. Moreover, it contains applications for the trilateration of paramagnetic centres in biomolecules and for rigid-body docking of subdomains of macromolecular complexes. The mtsslSuite is tested on a number of challenging test cases and its strengths and weaknesses are evaluated.

Metal ions play an important role in the catalysis and folding of proteins and oligonucleotides. Their localization within the three-dimensional fold of such biomolecules is therefore an important goal in understanding structure-function relationships. A trilateration approach for the localization of metal ions by means of long-range distance measurements based on electron paramagnetic resonance (EPR) is introduced. The approach is tested on the Cu(2+) center of azurin, and factors affecting the precision of the method are discussed.

A rigid, nitroxide substituted terpyridine ligand has been used to synthesize hetero- and homoleptic bis-terpyridine complexes of copper(II). The homoleptic complex represents a three-spin system, while the metal ion in the heteroleptic complex is in average bound to one nitroxide bearing ligand. Both complexes are used as model systems for EPR distance measurements using pulsed electron-electron double resonance (PELDOR or DEER) and relaxation induced dipolar modulation enhancement (RIDME) sequences. The results of both methods are analyzed using detailed geometric data obtained from the crystal structure of the homoleptic complex as well as information concerning ligand scrambling and the electronic structure of the copper center. In addition, both methods are compared with respect to their sensitivity, the extent of orientation selectivity and the influence of multispin effects.