Paramagnetic metal ions offer outstanding opportunities for protein studies by nuclear magnetic resonance (NMR) spectroscopy. The paramagnetic effects manifested in the NMR spectra provide powerful ...restraints for the determination of the three-dimensional structure of proteins, open new possibilities for the analysis of protein-protein and protein-ligand interactions, and offer widely applicable tools for sensitivity enhancement of NMR experiments, resonance assignments, and studies of conformational heterogeneity and exchange. With the advent of new reagents for site-specific labeling of proteins with paramagnetic metal ions, a range of established and new strategies that used to be reserved for metalloproteins is becoming available for NMR spectroscopy of nonmetalloproteins.
The advent of different lanthanide-binding reagents has made site-specific labelling of proteins with paramagnetic lanthanides a viable proposition. This brings many powerful techniques originally ...established and demonstrated for paramagnetic metalloproteins into the mainstream of structural biology. The promise is that, by exploiting the long-range effects of paramagnetism, lanthanide labelling will allow the study of larger proteins and protein-ligand complexes with greater ease and accuracy than hitherto possible. In particular, lanthanide-induced pseudocontact shifts (PCS) provide powerful restraints and 3D structure determination using PCS as the only source of experimental restraints will probably be possible with data obtained from samples with different lanthanide-tagging sites. Cell-free protein synthesis is positioned to play an important role in this strategy, as an inexpensive source of selectively labelled protein samples and for easy site-specific incorporation of unnatural lanthanide-binding amino acids.
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The COVID-19 pandemic continues to be a public health threat. Multiple mutations in the spike protein of emerging variants of SARS-CoV-2 appear to impact on the effectiveness of ...available vaccines. Specific antiviral agents are keenly anticipated but their efficacy may also be compromised in emerging variants. One of the most attractive coronaviral drug targets is the main protease (Mpro). A promising Mpro inhibitor of clinical relevance is the peptidomimetic nirmatrelvir (PF-07321332). We expressed Mpro of six SARS-CoV-2 lineages (C.37 Lambda, B.1.1.318, B.1.2, B.1.351 Beta, B.1.1.529 Omicron, P.2 Zeta), each of which carries a strongly prevalent missense mutation (G15S, T21I, L89F, K90R, P132H, L205V). Enzyme kinetics reveal that these Mpro variants are catalytically competent to a similar degree as the wildtype. We show that nirmatrelvir has similar potency against the variants as the wildtype. Our in vitro data suggest that the efficacy of the specific Mpro inhibitor nirmatrelvir is not compromised in current COVID-19 variants.
Several enzymes are known to have evolved from non-catalytic proteins such as solute-binding proteins (SBPs). Although attention has been focused on how a binding site can evolve to become catalytic, ...an equally important question is: how do the structural dynamics of a binding protein change as it becomes an efficient enzyme? Here we performed a variety of experiments, including propargyl-DO3A-Gd(III) tagging and double electron-electron resonance (DEER) to study the rigid body protein dynamics of reconstructed evolutionary intermediates to determine how the conformational sampling of a protein changes along an evolutionary trajectory linking an arginine SBP to a cyclohexadienyl dehydratase (CDT). We observed that primitive dehydratases predominantly populate catalytically unproductive conformations that are vestiges of their ancestral SBP function. Non-productive conformational states, including a wide-open state, are frozen out of the conformational landscape via remote mutations, eventually leading to extant CDT that exclusively samples catalytically relevant compact states. These results show that remote mutations can reshape the global conformational landscape of an enzyme as a mechanism for increasing catalytic activity.
Pseudocontact shifts (PCSs) generated by paramagnetic metal ions contribute highly informative long-range structure restraints that can be measured in solution and are ideally suited to guide ...structure prediction algorithms in determining global protein folds. We recently demonstrated that PCSs, which are relatively small but of high quality, can be generated by a double-histidine (dHis) motif in an α-helix, which provides a well-defined binding site for a single Co2+ ion. Here we show that PCSs of backbone amide protons generated by dHis-Co2+ motifs positioned in four different α-helices of a protein deliver excellent restraints to determine the three-dimensional (3D) structure of a protein in a way akin to the global positioning system (GPS). We demonstrate the approach with GPS-Rosetta calculations of the 3D structure of the C-terminal domain of the chaperone ERp29 (ERp29-C). Despite the relatively small size of the PCSs generated by the dHis-Co2+ motifs, the structure calculations converged readily. Generating PCSs by the dHis-Co2+ motif thus presents an excellent alternative to the use of lanthanide tags.
Paramagnetic metal ions generate pseudocontact shifts (PCSs) in nuclear magnetic resonance spectra that are manifested as easily measurable changes in chemical shifts. Metals can be incorporated into ...proteins through metal binding tags, and PCS data constitute powerful long-range restraints on the positions of nuclear spins relative to the coordinate system of the magnetic susceptibility anisotropy tensor (Δχ-tensor) of the metal ion. We show that three-dimensional structures of proteins can reliably be determined using PCS data from a single metal binding site combined with backbone chemical shifts. The program PCS-ROSETTA automatically determines the Δχ-tensor and metal position from the PCS data during the structure calculations, without any prior knowledge of the protein structure. The program can determine structures accurately for proteins of up to 150 residues, offering a powerful new approach to protein structure determination that relies exclusively on readily measurable backbone chemical shifts and easily discriminates between correctly and incorrectly folded conformations.
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► PCS-ROSETTA offers a powerful new approach to protein structure determination. ► Three-dimensional structures of proteins up to 150 residues can reliably be determined using backbone PCS data only. ► PCS-ROSETTA automatically determines protein structure, the Δχ-tensor and metal position from the PCS data.
Peptides featuring an N-terminal cysteine residue and the unnatural amino acid 3-(2-cyano-4-pyridyl)alanine (Cpa) cyclize spontaneously in aqueous solution at neutral pH. Cpa is readily available ...and easily introduced into peptides using standard solid-phase peptide synthesis. The reaction is orthogonal to all proteinogenic amino acids, including cysteine residues that are not at the N-terminus. A substrate peptide of the Zika virus NS2B-NS3 protease cyclized in this way produced an inhibitor of high affinity and proteolytic stability.
Pseudocontact shifts (PCSs) induced by paramagnetic lanthanides produce pronounced effects in nuclear magnetic resonance spectra, which are easily measured and which deliver valuable long-range ...structure restraints. Even sparse PCS data greatly enhance the success rate of 3D (3-dimensional) structure predictions of proteins by the modeling program Rosetta. The present work extends this approach to 3D structures of larger proteins, comprising more than 200 residues, which are difficult to model by Rosetta without additional experimental restraints. The new algorithm improves the fragment assembly method of Rosetta by utilizing PCSs generated from paramagnetic lanthanide ions attached at four different sites as the only experimental restraints. The sparse PCS data are utilized at multiple stages, to identify native-like local structures, to rank the best structural models and to rebuild the fragment libraries. The fragment libraries are refined iteratively until convergence. The PCS-driven iterative resampling algorithm is strictly data dependent and shown to generate accurate models for a benchmark set of eight different proteins, ranging from 100 to 220 residues, using solely PCSs of backbone amide protons.
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•3D structure determination of large proteins from sparse PCS data.•A purely data-driven and data-dependent method is presented.•Faster, more robust and more reliable than existing methods.
Double electron–electron resonance (DEER) distance measurements of a protein complex tagged with two Gd3+ chelates developed for rigid positioning of the metal ion are shown to deliver outstandingly ...accurate distance measurements in the 6 nm range. The accuracy was assessed by comparison with modeled distance distributions based on the three-dimensional molecular structures of the protein and the tag and further comparison with paramagnetic NMR data. The close agreement between the predicted and experimentally measured distances opens new possibilities for investigating the structure of biomolecular assemblies. As an example, we show that the dimer interface of rat ERp29 in solution is the same as that determined previously for human ERp29 in the single crystal.
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