The characterization of the conformational properties of intrinsically disordered proteins (IDPs), and their interaction modes with physiological partners has recently become a major research topic for understanding biological function on the molecular level. Although multidimensional NMR spectroscopy is the technique of choice for the study of IDPs at atomic resolution, the intrinsically low resolution, and the large peak intensity variations often observed in NMR spectra of IDPs call for resolution- and sensitivity-optimized pulse schemes. We present here a set of amide proton-detected 3D BEST-TROSY correlation experiments that yield the required sensitivity and spectral resolution for time-efficient sequential resonance assignment of large IDPs. In addition, we introduce two proline-edited 2D experiments that allow unambiguous identification of residues adjacent to proline that is one of the most abundant amino acids in IDPs. The performance of these experiments, and the advantages of BEST-TROSY pulse schemes are discussed and illustrated for two IDPs of similar length (~270 residues) but with different conformational sampling properties.

While CH–π interactions with target proteins are crucial determinants for the affinity of arguably every drug molecule, no method exists to directly measure the strength of individual CH–π interactions in drug–protein complexes. Herein, we present a fast and reliable methodology called PI (π interactions) by NMR, which can differentiate the strength of protein–ligand CH–π interactions in solution. By combining selective amino‐acid side‐chain labeling with 1H‐13C NMR, we are able to identify specific protein protons of side‐chains engaged in CH–π interactions with aromatic ring systems of a ligand, based solely on 1H chemical‐shift values of the interacting protein aromatic ring protons. The information encoded in the chemical shifts induced by such interactions serves as a proxy for the strength of each individual CH–π interaction. PI by NMR changes the paradigm by which chemists can optimize the potency of drug candidates: direct determination of individual π interactions rather than averaged measures of all interactions.

The application of metabolic precursors for selective stable isotope labeling of aromatic residues in cell-based protein overexpression has already resulted in numerous NMR probes to study the structural and dynamic characteristics of proteins. With anthranilic acid, we present the structurally simplest precursor for exclusive tryptophan side chain labeling. A synthetic route to 13C, 2H isotopologues allows the installation of isolated 13C–1H spin systems in the indole ring of tryptophan, representing a versatile tool to investigate side chain motion using relaxation-based experiments without the loss of magnetization due to strong 1JCC and weaker 2JCH scalar couplings, as well as dipolar interactions with remote hydrogens. In this article, we want to introduce this novel precursor in the context of hitherto existing techniques of in vivo aromatic residue labeling.Electronic supplementary materialThe online version of this article (doi:10.1007/s10858-017-0129-2) contains supplementary material, which is available to authorized users.

Siderocalins are atypical lipocalins able to capture siderophores with high affinity. They contribute to the innate immune response by interfering with bacterial siderophore-mediated iron uptake but are also involved in numerous physiological processes such as inflammation, iron delivery, tissue differentiation, and cancer progression. The Q83 lipocalin was originally identified based on its overexpression in quail embryo fibroblasts transformed by the v-myc oncogene. We show here that Q83 is a siderocalin, binding the siderophore enterobactin with an affinity and mode of binding nearly identical to that of neutrophil gelatinase-associated lipocalin (NGAL), the prototypical siderocalin. This strengthens the role of siderocalins in cancer progression and inflammation. In addition, we also present the solution structure of Q83 in complex with intact enterobactin and a detailed analysis of the Q83 binding mode, including mutagenesis of the critical residues involved in enterobactin binding. These data provide a first insight into the molecular details of siderophore binding and delineate the common molecular properties defining the siderocalin protein family.