Predicted secondary structure and membrane topology of the scrapie prion protein

The integral membrane sialoglycoprotein PrPSc is the only identifiable component of the scrapie prion. Scrapie in animals and Creutzfeldt-Jakob disease in humans are transmissible, degenerative neurological diseases caused by prions. Standard predictive strategies have been used to analyze the secondary structure of the prion protein in conjunction with Fourier analysis of the primary sequence hydrophobicities to detect potential amphipathic regions. Several hydrophobic segments, a proline- and glycine-rich repeat region and putative glycosylation sites are incorporated into a model for the integral membrane topology of PrP. The complete amino acid sequences of the hamster, human and mouse prion proteins are compared and the effects of residue substitutions upon the predicted conformation of the polypeptide chain are discussed. While PrP has a unique primary structure, its predicted secondary structure shares some interesting features with the serum amyloid A proteins. These proteins undergo a post-translational modification to yield amyloid A, molecules that share with PrP the ability to polymerize into birefringent filaments. Our analyses may explain some experimental observations on PrP, and suggest further studies on the properties of the scrapie and cellular PrP isoforms.     

A holistic approach to protein secondary structure characterization using amide I band Raman spectroscopy

We have developed a holistic protein structure estimation technique using amide I band Raman spectroscopy. This technique combines the superposition of reference spectra for pure secondary structure elements with simultaneous aromatic, fluorescence, and solvent background subtraction, and is applicable to solution, suspension, and solid protein samples. A key component of this technique was the calculation of the reference spectra for ordered helix, unordered helix, and sheet, turns, and unordered structures from a series of well-characterized reference proteins. We accurately account for the overlap between the amide I and non-amide I regions and allow for different scattering efficiencies for different secondary structures. For hydrated samples, we allowed for the possibility that bound water spectra differ from the bulk water spectra. Our computed reference spectra compare well with previous experimental and theoretical results in the literature. We have demonstrated the use of these reference spectra for the estimation of secondary structures of proteins in solution, suspension, and dry solid forms. The agreement between our structure estimates and the corresponding determinations from X-ray crystallography is good.     

A segment-based approach to protein secondary structure prediction.

Amino acid sequence patterns have been used to identify the location of turns in globular proteins [Cohen et al. (1986) Biochemistry 25, 266-275]. We have developed sequence patterns that facilitate the prediction of helices in all helical proteins. Regular expression patterns recognize the component parts of a helix: the amino terminus (N-cap), the core of the helix (core), and the carboxy terminus (C-cap). These patterns recognize the core features of helices with a 95% success rate and the N- and C-capping features with success rates of 56% and 48%, respectively. A metapattern language, ALPPS, coordinates the recognition of turns and helical components in a scheme that predicts the location and extent of alpha-helices. On the basis of raw residue scoring, a 71% success rate is observed. By focusing on the recognition of core helical features, we achieve a 78% success rate. Amended scoring procedures are presented and discussed, and comparisons are made to other predictive schemes.     

A dynamic Bayesian network approach to protein secondary structure prediction

Background  

Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful information relevant to sequence-structure relationship. However, at present, the prediction accuracy of pure HMM-type methods is much lower than that of machine learning-based methods such as neural networks (NN) or support vector machines (SVM).     

A protein taxonomy based on secondary structure.

Does a protein's secondary structure determine its three-dimensional fold? This question is tested directly by analyzing proteins of known structure and constructing a taxonomy based solely on secondary structure. The taxonomy is generated automatically, and it takes the form of a tree in which proteins with similar secondary structure occupy neighboring leaves. Our tree is largely in agreement with results from the structural classification of proteins (SCOP), a multidimensional classification based on homologous sequences, full three-dimensional structure, information about chemistry and evolution, and human judgment. Our findings suggest a simple mechanism of protein evolution.     

The chemical shift index: a fast and simple method for the assignment of protein secondary structure through NMR spectroscopy.

Previous studies by Wishart et al. [Wishart, D. S., Sykes, B. D., & Richards, F. M. (1991) J. Mol. Biol. (in press)] have demonstrated that 1H NMR chemical shifts are strongly dependent on the character and nature of protein secondary structure. In particular, it has been found that the 1H NMR chemical shift of the alpha-CH proton of all 20 naturally occurring amino acids experiences an upfield shift (with respect to the random coil value) when in a helical configuration and a comparable downfield shift when in a beta-strand extended configuration. On the basis of these observations, a technique is described for rapidly and quantitatively determining the identity, extent, and location of secondary structural elements in proteins based on the simple inspection of the alpha-CH 1H resonance assignments. A number of examples are provided to demonstrate both the simplicity and the accuracy of the technique. This new method is found to be almost as accurate as the more traditional NOE-based methods of determining secondary structure and could prove to be particularly useful in light of the recent development of sequential assignment techniques which are now almost NOE-independent [Ikura, M., Kay, L. E., & Bax, A. (1990) Biochemistry 29, 4659-4667]. We suggest that this new procedure should not necessarily be seen as a substitute to existing rigorous methods for secondary structure determination but, rather, should be viewed as a complement to these approaches.     

The secretory carrier membrane protein family: structure and membrane topology

Secretory carrier membrane proteins (SCAMPs) are integral membrane proteins found in secretory and endocytic carriers implicated to function in membrane trafficking. Using expressed sequence tag database and library screens and DNA sequencing, we have characterized several new SCAMPs spanning the plant and animal kingdoms and have defined a broadly conserved protein family. No obvious fungal homologue has been identified, however. We have found that SCAMPs share several structural motifs. These include NPF repeats, a leucine heptad repeat enriched in charged residues, and a proline-rich SH3-like and/or WW domain-binding site in the N-terminal domain, which is followed by a membrane core containing four putative transmembrane spans and three amphiphilic segments that are the most highly conserved structural elements. All SCAMPs are 32-38 kDa except mammalian SCAMP4, which is approximately 25 kDa and lacks most of the N-terminal hydrophilic domain of other SCAMPs. SCAMP4 is authentic as determined by Northern and Western blotting, suggesting that this portion of the larger SCAMPs encodes the functional domain. Focusing on SCAMP1, we have characterized its structure further by limited proteolysis and Western blotting with the use of isolated secretory granules as a uniformly oriented source of antigen and by topology mapping through expression of alkaline phosphatase gene fusions in Escherichia coli. Results show that SCAMP1 is degraded sequentially from the N terminus and then the C terminus, yielding an approximately 20-kDa membrane core that contains four transmembrane spans. Using synthetic peptides corresponding to the three conserved amphiphilic segments of the membrane core, we have demonstrated their binding to phospholipid membranes and shown by circular dichroism spectroscopy that the central amphiphilic segment linking transmembrane spans 2 and 3 is alpha-helical. In the intact protein, these segments are likely to reside in the cytoplasm-facing membrane interface. The current model of SCAMP1 suggests that the N and C termini form the cytoplasmic surface of the protein overlying a membrane core, which contains a functional domain located at the cytoplasmic interface with little exposure of the protein on the ectodomain.     

Secondary structure and topology of interleukin-1 receptor antagonist protein determined by heteronuclear three-dimensional NMR spectroscopy.

Interleukin-1 (IL-1) proteins, such as IL-1 beta, play a key role in immune and inflammatory responses. Interaction of these cytokines with the IL-1 receptor induces a variety of biological changes in neurologic, metabolic, hematologic, and endocrinologic systems. Interleukin-1 receptor antagonist protein (IRAP) is a naturally occurring inhibitor of the interleukin-1 receptor. The 153-residue protein binds to the receptor with an affinity similar to that of IL-1 beta but does not elicit any physiological responses. As a first step toward understanding IRAP's mode of action, we have used multidimensional, heteronuclear NMR spectroscopy to determine the antagonist's solution secondary structure and global fold. Using a combination of 3D 1H-15N NOESY-HMQC and TOCSY-HMQC and 3D 1H-15N-13C HNCA and HN(CO)CA experiments on uniformly 15N- or doubly 13C/15N-enriched IRAP, we have made resonance assignments for more than 90% of the main-chain atoms. Analysis of short- and long-range NOE's indicates that IRAP is predominantly beta-sheet, with the same overall topology as IL-1 beta but with different regions of the primary sequence comprising the beta-strands. Two short helical segments also were identified. The 14% sequence identity between IL-1 beta and IRAP increases to 25% when differences in the locations of secondary structure elements in the primary sequences are taken into account. Still, numerous differences in side chains, which ultimately play a major role in receptor interaction, exist.(ABSTRACT TRUNCATED AT 250 WORDS)     

Simple techniques for the quantification of protein secondary structure by 1H NMR spectroscopy

Previous work by Wishart et al. (in press) and others [(1989) J. Magn. Reson. 83, 441-449; (1990) J. Magn. Reson. 90, 165-176] has shown a strong tendency for protein secondary structure to be manifested in 1H NMR chemical shifts. Based on these earlier results, two techniques have been developed for the quantification of secondary structure in proteins. Both methods allow for the rapid and accurate determination of the percent content of helix, coil, and beta-strand based on the integration (or peak enumeration) of selected portions of either 1-D or 2-D 1H NMR spectra. These new and very simple procedures have been found to compare quite favorably to other well established techniques for secondary structure determination such as CD, Raman and IR spectroscopy.     

Three-dimensional structure topology of the calreticulin P-domain based on NMR assignment

Calreticulin (CRT) is an abundant molecular chaperone of the endoplasmic reticulum. Its central, proline-rich P-domain, comprising residues 189-288, contains three copies of each of two repeat sequences (types 1 and 2), which are arranged in a characteristic '111222' pattern. Here we show that the three-dimensional structure of CRT(189-288) contains a single hairpin fold formed by the entire polypeptide chain. The loop at the bottom of the hairpin consists of residues 227-247, and is closed by an anti-parallel beta-sheet of residues 224-226 and 248-250. Two additional beta-sheets contain residues 207-209 and 262-264, and 190-192 and 276-278. The 17-residue spacing of the beta-strands in the N-terminal part of the hairpin and the 14-residue spacing in the C-terminal part reflect the length of the type 1 and type 2 sequence repeats. As a consequence of this topology the peptide segments separating the beta-strands in the N-terminal part of the hairpin are likely to form bulges to accommodate the extra residues. These results are based on nearly complete sequence-specific NMR assignments for CRT(189-288), which were obtained using standard NMR techniques with the (13)C/(15)N-labeled protein, and collection of nuclear Overhauser enhancement upper distance constraints.     

Structure of outer membrane protein A transmembrane domain by NMR spectroscopy

We have determined the three-dimensional fold of the 19 kDa (177 residues) transmembrane domain of the outer membrane protein A of Escherichia coli in dodecylphosphocholine (DPC) micelles in solution using heteronuclear NMR. The structure consists of an eight-stranded beta-barrel connected by tight turns on the periplasmic side and larger mobile loops on the extracellular side. The solution structure of the barrel in DPC micelles is similar to that in n-octyltetraoxyethylene (C(8)E(4)) micelles determined by X-ray diffraction. Moreover, data from NMR dynamic experiments reveal a gradient of conformational flexibility in the structure that may contribute to the membrane channel function of this protein.     

A simple and fast approach to prediction of protein secondary structure from multiply aligned sequences with accuracy above 70%.

To improve secondary structure predictions in protein sequences, the information residing in multiple sequence alignments of substituted but structurally related proteins is exploited. A database comprised of 70 protein families and a total of 2,500 sequences, some of which were aligned by tertiary structural superpositions, was used to calculate residue exchange weight matrices within alpha-helical, beta-strand, and coil substructures, respectively. Secondary structure predictions were made based on the observed residue substitutions in local regions of the multiple alignments and the largest possible associated exchange weights in each of the three matrix types. Comparison of the observed and predicted secondary structure on a per-residue basis yielded a mean accuracy of 72.2%. Individual alpha-helix, beta-strand, and coil states were respectively predicted at 66.7, and 75.8% correctness, representing a well-balanced three-state prediction. The accuracy level, verified by cross-validation through jack-knife tests on all protein families, dropped, on average, to only 70.9%, indicating the rigor of the prediction procedure. On the basis of robustness, conceptual clarity, accuracy, and executable efficiency, the method has considerable advantage, especially with its sole reliance on amino acid substitutions within structurally related proteins.     

A secondary structure motif predictive of protein localization to the chlamydial inclusion membrane

Chlamydiae are obligate intracellular pathogens that spend their entire growth phase sequestered in a membrane-bound vacuole called an inclusion. A set of chlamydial proteins, labelled Inc proteins, has been identified in the inclusion membrane (IM). The predicted IncA, IncB and IncC amino acid sequences share very limited similarity, but a common hydrophobicity motif is present within each Inc protein. In an effort to identify a relatively complete catalogue of Chlamydia trachomatis proteins present in the IM of infected cells, we have screened the genome for open reading frames encoding this structural motif. Hydropathy plot analysis was used to screen each translated open reading frame in the C. trachomatis genome database. Forty-six candidate IM proteins (C-lncs) that satisfied the criteria of containing a bilobed hydrophobic domain of at least 50 amino acids were identified. The genome of Chlamydia pneumoniae encodes a larger collection of C-lnc proteins, and only approximately half of the C-lncs are encoded within both genomes. In order to confirm the hydropathy plot screening method as a valid predictor of C-lncs, antisera and/or monoclonal antibodies were prepared against six of the C. trachomatis C-lncs. Immunofluorescence microscopy of C. trachomatis-infected cells probed with these antibodies showed that five out of six C-lncs are present in the chlamydial IM. Antisera were also produced against C. pneumoniae p186, a protein sharing identity with Chlamydia psittaci lncA and carrying a similar bilobed hydrophobic domain. These antisera labelled the inclusion membrane in C. pneumoniae infected cells, confirming that proteins sharing the unique secondary structural characteristic also localize to the inclusion membrane of C. pneumoniae. Sera from patients with high-titre antibodies to C. trachomatis were examined for reactivity with each tested C-lnc protein. Three out of six tested C-lncs were recognized by a majority of these patient sera. Collectively, these studies identify and characterize novel proteins localized to the chlamydial IM and demonstrate the existence of a potential secondary structural targeting motif for localization of chlamydial proteins to this unique intracellular environment.     

Structure, dynamics and topology of membrane polypeptides by oriented 2H solid-state NMR spectroscopy

Knowledge of the structure, dynamics and interactions of polypeptides when associated with phospholipid bilayers is key to understanding the functional mechanisms of channels, antibiotics, signal- or translocation peptides. Solid-state NMR spectroscopy on samples uniaxially aligned relative to the magnetic field direction offers means to determine the alignment of polypeptide bonds and domains relative to the bilayer normal. Using this approach the ¹⁵N chemical shift of amide bonds provides a direct indicator of the approximate helical tilt, whereas the ²H solid-state NMR spectra acquired from peptides labelled with 3,3,3-²H₃-alanines contain valuable complimentary information for a more accurate analysis of tilt and rotation pitch angles. The deuterium NMR line shapes are highly sensitive to small variations in the alignment of the C_α–C_β bond relative to the magnetic field direction and, therefore, also the orientational distribution of helices relative to the membrane normal. When the oriented membrane samples are investigated with their normal perpendicular to the magnetic field direction, the rate of rotational diffusion can be determined in a semi-quantitative manner and thereby the aggregation state of the peptides can be analysed. Here the deuterium NMR approach is first introduced showing results from model amphipathic helices. Thereafter investigations of the viral channel peptides Vpu_1–27 and Influenza A M2_22–46 are shown. Whereas the ¹⁵N chemical shift data confirm the transmembrane helix alignments of these hydrophobic sequences, the deuterium spectra indicate considerable mosaic spread in the helix orientations. At least two peptide populations with differing rotational correlation times are apparent in the deuterium spectra of the viral channels suggesting an equilibrium between monomeric peptides and oligomeric channel configurations under conditions where solid-state NMR structural studies of these peptides have previously been performed. Dedicated to Prof. K. Arnold on the occasion of his 65th birthday.     

NMR structure of the integral membrane protein OmpX

The structure of the integral membrane protein OmpX from Escherichia coli reconstituted in 60 kDa DHPC micelles (OmpX/DHPC) was calculated from 526 NOE upper limit distance constraints. The structure determination was based on complete sequence-specific assignments for the amide protons and the Val, Leu, and Ile(delta1) methyl groups in OmpX, which were selectively protonated on a perdeuterated background. The solution structure of OmpX in the DHPC micelles consists of a well-defined, eight-stranded antiparallel beta-barrel, with successive pairs of beta-strands connected by mobile loops. Several long-range NOEs observed outside of the transmembrane barrel characterize an extension of a four-stranded beta-sheet beyond the height of the barrel. This protruding beta-sheet is believed to be involved in intermolecular interactions responsible for the biological functions of OmpX. The present approach for de novo structure determination should be quite widely applicable to membrane proteins reconstituted in mixed micelles with overall molecular masses up to about 100 kDa, and may also provide a platform for additional functional studies.     

NMR secondary structure of the plasminogen activator protein staphylokinase

Staphylokinase (Sak) is a 15.5 kDa protein secreted by several strains of Staphylococcusaureus. Due to its ability to convert plasminogen, the inactive proenzyme of the fibrinolyticsystem, into plasmin, Sak is presently undergoing clinical trials for blood clot lysis in thetreatment of thrombovascular disorders. With a view to developing a better understanding ofthe mode of action of Sak, we have initiated a structural investigation of Sak viamultidimensional heteronuclear NMR spectroscopy employing uniformly 15N- and 15N,13C-labelled Sak. Sequence-specific resonance assignments have been made employing 15N-editedTOCSY and NOE experiments and from HNCACB, CBCA(CO)NH, HBHA(CBCACO)NHand CC(CO)NH sets of experiments. From an analysis of the chemical shifts,3JHNH scalar coupling constants, NOEs and HN exchange data, the secondary structural elements of Sakhave been characterized.     

Automatic structure determination of regular polysaccharides based solely on NMR spectroscopy

The structural analysis of polysaccharides requires that the sugar components and their absolute configurations are determined. We here show that this can be performed based on NMR spectroscopy by utilizing butanolysis with (+)- and (-)-2-butanol that gives the corresponding 2-butyl glycosides with characteristic (1)H and (13)C NMR chemical shifts. The subsequent computer-assisted structural determination by CASPER can then be based solely on NMR data in a fully automatic way as shown and implemented herein. The method is additionally advantageous in that reference data only have to be prepared once and from a user's point of view only the unknown sample has to be derivatized for use in CASPER.     

3D-Jury: a simple approach to improve protein structure predictions

MOTIVATION: Consensus structure prediction methods (meta-predictors) have higher accuracy than individual structure prediction algorithms (their components). The goal for the development of the 3D-Jury system is to create a simple but powerful procedure for generating meta-predictions using variable sets of models obtained from diverse sources. The resulting protocol should help to improve the quality of structural annotations of novel proteins. Results: The 3D-Jury system generates meta-predictions from sets of models created using variable methods. It is not necessary to know prior characteristics of the methods. The system is able to utilize immediately new components (additional prediction providers). The accuracy of the system is comparable with other well-tuned prediction servers. The algorithm resembles methods of selecting models generated using ab initio folding simulations. It is simple and offers a portable solution to improve the accuracy of other protein structure prediction protocols. AVAILABILITY: The 3D-Jury system is available via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/) to the academic community. SUPPLEMENTARY INFORMATION: 3D-Jury is coupled to the continuous online server evaluation program, LiveBench (http://BioInfo.PL/LiveBench/)