Combined automated NOE assignment and structure determination module (CANDID) is a new software for efficient NMR structure determination of proteins by automated assignment of the NOESY spectra. CANDID uses an iterative approach with multiple cycles of NOE crosspeak assignment and protein structure calculation using the fast DYANA torsion angle dynamics algorithm, so that the result from each CANDID cycle consists of exhaustive, possibly ambiguous NOE cross-peak assignments in all available spectra and a three-dimensional protein structure represented by a bundle of conformers. The input for the first CANDID cycle consists of the amino acid sequence, the chemical shift list from the sequence-specific resonance assignment, and listings of the cross-peak positions and volumes in one or several two, three or four-dimensional NOESY spectra. The input for the second and subsequent CANDID cycles contains the three-dimensional protein structure from the previous cycle, in addition to the complete input used for the first cycle. CANDID includes two new elements that make it robust with respect to the presence of artifacts in the input data, i.e. network-anchoring and constraint-combination, which have a key role in de novo protein structure determinations for the successful generation of the correct polypeptide fold by the first CANDID cycle. Network-anchoring makes use of the fact that any network of correct NOE cross-peak assignments forms a self-consistent set; the initial, chemical shift-based assignments for each individual NOE cross-peak are therefore weighted by the extent to which they can be embedded into the network formed by all other NOE crosspeak assignments. Constraint-combination reduces the deleterious impact of artifact NOE upper distance constraints in the input for a protein structure calculation by combining the assignments for two or several peaks into a single upper limit distance constraint, which lowers the probability that the presence of an artifact peak will influence the outcome of the structure calculation. CANDID test calculations were performed with NMR data sets of four proteins for which high-quality structures had previously been solved by interactive protocols, and they yielded comparable results to these reference structure determinations with regard to both the residual constraint violations, and the precision and accuracy of the atomic coordinates. The CANDID approach has further been validated by de novo NMR structure determinations of four additional proteins. The experience gained in these calculations shows that once nearly complete sequence-specific resonance assignments are available, the automated CANDID approach results in greatly enhanced efficiency of the NOESY spectral analysis. The fact that the correct fold is obtained in 0022-2836/02/$ -see front matter q 2002 Elsevier Science Ltd. All rights reserved Present address: P. Gü ntert, RIKEN Genomic Sciences Center, 1-7-22 Suehiro, Tsurumi, Yokohama 230-0045, Japan.E-mail address of the corresponding author: guentert@gsc.r...

Novel algorithms are presented for automated NOESY peak picking and NOE signal identification in homonuclear 2D and heteronuclear-resolved 3D [(1)H,(1)H]-NOESY spectra during de novo protein structure determination by NMR, which have been implemented in the new software ATNOS (automated NOESY peak picking). The input for ATNOS consists of the amino acid sequence of the protein, chemical shift lists from the sequence-specific resonance assignment, and one or several 2D or 3D NOESY spectra. In the present implementation, ATNOS performs multiple cycles of NOE peak identification in concert with automated NOE assignment with the software CANDID and protein structure calculation with the program DYANA. In the second and subsequent cycles, the intermediate protein structures are used as an additional guide for the interpretation of the NOESY spectra. By incorporating the analysis of the raw NMR data into the process of automated de novo protein NMR structure determination, ATNOS enables direct feedback between the protein structure, the NOE assignments and the experimental NOESY spectra. The main elements of the algorithms for NOESY spectral analysis are techniques for local baseline correction and evaluation of local noise level amplitudes, automated determination of spectrum-specific threshold parameters, the use of symmetry relations, and the inclusion of the chemical shift information and the intermediate protein structures in the process of distinguishing between NOE peaks and artifacts. The ATNOS procedure has been validated with experimental NMR data sets of three proteins, for which high-quality NMR structures had previously been obtained by interactive interpretation of the NOESY spectra. The ATNOS-based structures coincide closely with those obtained with interactive peak picking. Overall, we present the algorithms used in this paper as a further important step towards objective and efficient de novo protein structure determination by NMR.

Using a set of six 1H-detected triple-resonance NMR experiments, we establish a method for sequence-specific backbone resonance assignment of magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectra of 5–30 kDa proteins. The approach relies on perdeuteration, amide 2H/1H exchange, high magnetic fields, and high-spinning frequencies (ωr/2π ≥ 60 kHz) and yields high-quality NMR data, enabling the use of automated analysis. The method is validated with five examples of proteins in different condensed states, including two microcrystalline proteins, a sedimented virus capsid, and two membrane-embedded systems. In comparison to contemporary 13C/15N-based methods, this approach facilitates and accelerates the MAS NMR assignment process, shortening the spectral acquisition times and enabling the use of unsupervised state-of-the-art computational data analysis protocols originally developed for solution NMR.

Protein structure determination by proton-detected magic-angle spinning (MAS) NMR has focused on highly deuterated samples, in which only a small number of protons are introduced and observation of signals from side chains is extremely limited. Here, we show in two fully protonated proteins that, at 100-kHz MAS and above, spectral resolution is high enough to detect resolved correlations from amide and side-chain protons of all residue types, and to reliably measure a dense network of 1 H-1 H proximities that define a protein structure. The high data quality allowed the correct identification of internuclear distance restraints encoded in 3D spectra with automated data analysis, resulting in accurate, unbiased, and fast structure determination. Additionally, we find that narrower proton resonance lines, longer coherence lifetimes, and improved magnetization transfer offset the reduced sample size at 100-kHz spinning and above. Less than 2 weeks of experiment time and a single 0.5-mg sample was sufficient for the acquisition of all data necessary for backbone and side-chain resonance assignment and unsupervised structure determination. We expect the technique to pave the way for atomic-resolution structure analysis applicable to a wide range of proteins.NMR spectroscopy | magic-angle spinning | protein structures | proton detection | viral nucleocapsids D espite tremendous progress in the analysis of biomolecular samples over the last two decades (1-7), routine application of magic-angle spinning (MAS) NMR in biology is still limited by the inherently low sensitivity. The direct detection of proton resonances is a straightforward way to counter this problem, but entails a trade-off with resolution due to the strong homonuclear dipolar interactions among proton nuclei. High-resolution proton-detected methods were first demonstrated with modest spinning frequencies by today's standards (∼10 kHz) and relied on a reduction of 1 H-1 H couplings by high levels of dilution with deuterium, typically perdeuteration, and complete (8, 9) or partial (10-12) protonation at exchangeable sites. The need for narrow proton resonances without such extreme levels of deuteration has motivated a continuous technological development, resulting in a dramatic increase in the available spinning frequency (13)(14)(15)(16)(17)(18)(19)(20).At MAS frequencies of 40-60 kHz, deuteration and 100% reprotonation at exchangeable sites, primarily amide protons, result in resolved and sensitive spectra, similar in quality to the case of higher dilution levels and lower spinning frequencies (21-23). This opens the way to rapid sequential assignment of backbone resonances (24-27), as well as to the unambiguous measurement of detailed structural and dynamical parameters (28-32). A further increase in the MAS frequency to 100 kHz allows resonance assignment (20), a structure determination of a model protein (16), and interaction studies (15) with as little as 0.5 mg of sample. However, a high deuteration level severely limits observation of side-chain s...

SUMMARYAmong bacterial toxin/antitoxin (TA) systems, to date no antitoxin has been identified that functions by cleaving toxin mRNA. Here we demonstrate YjdO (renamed GhoT) is a membrane lytic peptide that causes ghost cell formation (lysed cells with damaged membranes) and increases persistence (persister cells are tolerant to antibiotics without undergoing genetic change). GhoT is part of a novel TA system with YjdK (renamed GhoS) since in vitro RNA degradation studies, qRT-PCR, and whole-transcriptome studies revealed GhoS masks GhoT toxicity by cleaving specifically ghoT mRNA. Alanine substitutions showed arginine 28 is important for GhoS activity, and RNA sequencing indicated the GhoS cleavage site is rich in uridine and adenosine. The NMR structure of GhoS indicates it is related to the CAS2 CRISPR RNase, and GhoS is a monomer. Hence, GhoT/GhoS is the first type V TA system where a protein antitoxin inhibits the toxin by cleaving specifically its mRNA.

We introduce a new approach to improve structural and dynamical determination of large metalloproteins using solid-state nuclear magnetic resonance (NMR) with 1 H detection under ultrafast magic angle spinning (MAS). The approach is based on the rapid and sensitive acquisition of an extensive set of 15 N and 13 C nuclear relaxation rates. The system on which we demonstrate these methods is the enzyme Cu, Zn superoxide dismutase (SOD), which coordinates a Cu ion available either in Cu þ (diamagnetic) or Cu 2þ (paramagnetic) form. Paramagnetic relaxation enhancements are obtained from the difference in rates measured in the two forms and are employed as structural constraints for the determination of the protein structure. When added to 1 H-1 H distance restraints, they are shown to yield a twofold improvement of the precision of the structure. Site-specific order parameters and timescales of motion are obtained by a Gaussian axial fluctuation (GAF) analysis of the relaxation rates of the diamagnetic molecule, and interpreted in relation to backbone structure and metal binding. Timescales for motion are found to be in the range of the overall correlation time in solution, where internal motions characterized here would not be observable.paramagnetism | nuclear relaxation rates | copper | microcrystal S tructure determination of proteins plays a central role in understanding key events in biology. Although the structure of many proteins can be obtained from single-crystal X-ray diffraction, or by solution-state nuclear magnetic resonance (NMR) spectroscopy, there is nevertheless a range of important substrates for which structures cannot be determined today. These include immobile systems lacking long-range order such as protein aggregates, large complexes and membrane-bound systems.Solid-state NMR has the unique potential to study, with atomic resolution, systems of this nature, and spectacular progress has been made in this area over the last decade (1). There are today a small handful of structures obtained by solid-state NMR, from microcrystalline samples to fibrils and membrane-associated systems (2). Additionally, solid-state NMR is uniquely sensitive to site-specific protein dynamics over a broad range of timescales, and a number of demonstration studies have recently appeared for model proteins (3).The use of perdeuterated proteins has very recently opened the way to highly sensitive proton-detected solid-state experiments (4). Despite early proof-of-principle papers (5), this approach only became popular with the realization that amide sites must be only partially reprotonated (typically 10-30% back exchange) (6-8) to yield well-resolved 1 H spectra. This represented a significant compromise in sensitivity to gain resolution, and effectively made the determination of internuclear distances impractical, with few exceptions (9-11). We have recently shown how this problem can be completely overcome by using 100% reprotonation of exchangeable sites, without loss of resolution, if perdeuteration is combined wit...

The NMR structures of the recombinant cellular form of the prion proteins (PrP C ) of the cat (Felis catus), dog (Canis familiaris), and pig (Sus scrofa), and of two polymorphic forms of the prion protein from sheep (Ovis aries) are presented. In all of these species, PrP C consists of an N-terminal flexibly extended tail with Ϸ100 amino acid residues and a C-terminal globular domain of Ϸ100 residues with three ␣-helices and a short antiparallel ␤-sheet. Although this global architecture coincides with the previously reported murine, Syrian hamster, bovine, and human PrP C structures, there are local differences between the globular domains of the different species. Because the five newly determined PrP C structures originate from species with widely different transmissible spongiform encephalopathy records, the present data indicate previously uncharacterized possible correlations between local features in PrP C threedimensional structures and susceptibility of different mammalian species to transmissible spongiform encephalopathies.mammalian species ͉ feline transmissible spongiform encephalopathy ͉ scrapie T he prion protein (PrP) in mammalian organisms has attracted keen interest because of its relation to a group of invariably fatal neurodegenerative diseases, the transmissible spongiform encephalopathies (TSEs) or ''prion diseases,'' which include bovine spongiform encephalopathy (BSE), CreutzfeldtJakob disease in humans, feline spongiform encephalopathy, and scrapie in sheep. It is well established that expression of the host-encoded PrP is essential for TSE propagation (1, 2). In transgenic mice lacking the gene that encodes PrP, TSEs could not be observed, and the susceptibility toward TSE of these mice could only be restored by reestablishing PrP expression (3). High sequence conservation of PrP in mammalian species (4) indicates that this protein is functionally important in the healthy organism (1, 2), but the search for this unknown function is still ongoing.PrP was identified in the context of TSEs in an aggregated ''scrapie'' isoform of PrP (PrP Sc ) (5), which copurifies with the infective agent (6). This osbservation, the apparent stability of the infectious agent under DNA͞RNA denaturing conditions (7), and the unusual progression of the disease (8) led to the ''protein-only hypothesis.'' This hypothesis proposes that the major component, if not the only one, of the infectious particle causing TSE is a protein, i.e., presumably PrP Sc (1,(7)(8)(9)). An early observation in TSE infections has been the species barrier (10). Compared with transmission with infectious material from the same species, the incubation time for onset of TSEs is prolonged if a given species is challenged with infectious brain homogenate originating from another species. The incubation time may be reduced by consecutive passages within the new host, whereby the adaptation to the new host can take several generations for the disease to show clinical signs (11). In vivo and in vitro experiments indicated that the species ba...

Proton-driven 13C spin diffusion (PDSD) is a simple and robust two-dimensional NMR experiment. It leads to spectra with a high signal-to-noise ratio in which cross-peaks contain information about internuclear distances. We show that the total information content is sufficient to determine the atomic-resolution structure of a small protein from a single, uniformly 13C-, 15N-labeled microcrystalline sample. For the example of ubiquitin, the structure was determined by a manual procedure followed by an automatic optimization of the manual structure as well as by a fully automated structure determination approach. The relationship between internuclear distances and cross-peak intensities in the spectra is investigated.