Beta-strand Content Research Articles

Molecular dynamics study on the effects of charged amino acid distribution under low pH condition to the unfolding of hen egg white lysozyme and formation of beta strands.

Aggregation of unfolded or misfolded proteins into amyloid fibrils can cause various diseases in humans. However, the fibrils synthesized in vitro can be developed toward useful biomaterials under some physicochemical conditions. In this study, atomistic molecular dynamics simulations were performed to address the mechanism of beta-sheet formation of the unfolded hen egg-white lysozyme (HEWL) under a high temperature and low pH. Simulations of the protonated HEWL at pH 2 and the non-protonated HEWL at pH 7 were performed at the highly elevated temperature of 450 K to accelerate the unfolding, followed by the 333 K temperature to emulate some previous in vitro studies. The simulations showed that HEWL unfolded faster, and higher beta-strand contents were observed at pH 2. In addition, one of the simulation replicas at pH 2 showed that the beta-strand forming sequence was consistent with the 'K-peptide', proposed as the core region for amyloidosis in previous experimental studies. Beta-strand formation mechanisms at the earlier stage of amyloidosis were explained in terms of the radial distribution of the amino acids. The separation between groups of positively charged sidechains from the hydrophobic core corresponded to the clustering of the hydrophobic residues and beta-strand formation.

Zinc binding to Muscle LIM Protein regulates its structure and interaction with binding partners

Muscle LIM protein (MLP) is a member of the cysteine‐rich protein family, localising predominantly to the Z‐disk of the myofilaments in cardiac myocytes. MLP is a mechanosensor and functions through its translocation to the nucleus from the myofilaments and through protein‐protein interactions in the cytoplasm. Mechanosensing enables the heart to adapt appropriately to alterations in hemodynamic load, whilst mutations in the MLP gene lead to cardiomyopathy and heart failure. MLP contains two LIM domains each consisting of a double zinc‐finger motif. Rather than interacting with DNA, LIM domains mediate protein‐protein interactions associated with cellular signalling.The aim of this investigation is to determine how zinc binding regulates the structure of MLP and determine the impact on its interaction with binding partners. The analysis was performed using a combination of circular dichroism (CD), bioinformatics tools and online servers. CD is the difference in absorption between left‐handed and right‐handed circularly polarised light, occurring when a molecule contains light‐absorbing groups. It can be used to study the secondary, tertiary and quaternary structure of proteins, as well as studying its conformational stability under different conditions.In this study, we used CD to determine structural changes to MLP in the presence and absence of zinc. MLP is predominantly helical (~36%) with a small percentage of beta‐strands of ~8%, 34% of unordered and 21% of turns. In the presence of excess zinc, the helical content was reduced to ~19% with a gain of beta‐strand component to 30%. The presence of EDTA caused MLP to lose some helical conformation to 22% with an increased in the beta‐strand content to 16%. These data suggest that zinc increases the structural folding and organization of MLP.The full length wildtype MLP sequence was submitted to a variety of servers along with the C58G mutation known to reduce zinc binding in the first LIM domain. This mutation in humans leads to heart failure. Heart failure is defined as a progressive condition in which the heart is unable to pump enough blood to meet the body's needs for oxygen and nutrients. Bioinformatic protein‐protein analysis indicated that the C58G mutation inhibits interaction with NRAP, TCAP, alpha‐actinin and cofilin 2 which would interfere with MLP binding to the z‐disk and the myofilaments within cardiac myocytes. This would have a significant negative impact on mechanosensing in the heart and explains why the C58G mutation in MLP leads to heart failure.Support or Funding InformationUniversity of Reading and Diamond Light SourceThis abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

Computational investigation on the effects of H50Q and G51D mutations on the α-Synuclein aggregation propensity

The aggregation of α-synuclein is linked directly to the histopathology of Parkinson’s disease (PD). However, several missense mutations present in the α-synuclein gene (SNCA) have been known to be associated with PD. Several studies have highlighted the effect of SNCA mutations on the α-synuclein aggregation, but their pathological roles are not completely established. In this study, we have focused on the effects of the recently discovered α-synuclein missense mutants (H50Q and G51D) on the aggregation using computational approaches. We performed all atom molecular dynamics (MD) simulation on these mutants and compared their conformational dynamics with Wild-Type (WT) α-synuclein. We noticed the solvent accessible surface area (SASA), radius of gyration, atomic fluctuations, and beta strand content to be higher in H50Q than G51D and WT. Using PDBSum online server; we analyzed the inter-molecular interactions that drive the association of monomeric units of H50Q, WT, and G51D in forming the respective homo-dimer. We noticed the interface area, number of interacting residues and binding free energy to be higher for H50Q homo-dimer than the WT and G51D homo-dimers. Our findings in this study suggest that in comparison to WT and G51D, H50Q mutation to have a positive effect on increasing the α-synuclein aggregation propensity. Hence, we see that H50Q and G51D mutation show conflicting effect on the aggregation propensity of α-synuclein.

Prediction of protein secondary structure from circular dichroism using theoretically derived spectra

Circular dichroism (CD) is a spectroscopic technique commonly used to investigate the structure of proteins. Major secondary structure types, alpha-helices and beta-strands, produce distinctive CD spectra. Thus, by comparing the CD spectrum of a protein of interest to a reference set consisting of CD spectra of proteins of known structure, predictive methods can estimate the secondary structure of the protein. Currently available methods, including K2D2, use such experimental CD reference sets, which are very small in size when compared to the number of tertiary structures available in the Protein Data Bank (PDB). Conversely, given a PDB structure, it is possible to predict a theoretical CD spectrum from it. The methodological framework for this calculation was established long ago but only recently a convenient implementation called DichroCalc has been developed. In this study, we set to determine whether theoretically derived spectra could be used as reference set for accurate CD based predictions of secondary structure. We used DichroCalc to calculate the theoretical CD spectra of a nonredundant set of structures representing most proteins in the PDB, and applied a straightforward approach for predicting protein secondary structure content using these theoretical CD spectra as reference set. We show that this method improves the predictions, particularly for the wavelength interval between 200 and 240 nm and for beta-strand content. We have implemented this method, called K2D3, in a publicly accessible web server at http://www. ogic.ca/projects/k2d3.

Formation of Amyloid Fibrils from Kidney Bean 7S Globulin (Phaseolin) at pH 2.0

The amyloid fibrils formed by heating 1.0% (w/v) kidney bean phaseolin (7S globulin) solution at pH 2.0 with an ionic strength of 20 mM at 85 degrees C were characterized using transmission electron microscopy (TEM), atomic force microscopy (AFM), binding of thioflavin T (Th T) and Congo Red dyes, and circular dichroism spectroscopy. The morphology of the formed fibrils was closely dependent upon heating time from 15 to 720 min. The diameters of the fibrils formed at various times were similar, but the mean contour length progressively increased with heating time. The Th T maximum fluorescence also progressively increased with heating time. The heating process caused remarkable changes in secondary, tertiary, and quaternary conformations of the phaseolin, but the extents of the changes were closely related to the heating time. With a short heating time (e.g., 15 min), the beta-strand content decreased from 38.7 to 22.9%, but further heating resulted in recovery of beta-strand structure. The tertiary and quaternary conformations gradually became flexible and unfolded upon heating. Gel electrophoresis analysis indicated that heating disrupted the polypeptides of phaseolin, leading to the formation of fragments with lower molecular mass (e.g., <10 kDa after 360 min). The results suggest that the amyloid fibril formation of phaseolin (7S globulin) involved the disruption of its polypeptides, as well as conformational changes at secondary, tertiary, and quaternary structural levels. This appears to be the first direct observation of amyloid fibrils from legume 7S storage globulin.

Surface study of apoB1694–1880, a sequence that can anchor apoB to lipoproteins and make it nonexchangeable

Apolipoprotein B (apoB) is a nonexchangeable apolipoprotein. During lipoprotein assembly, it recruits phospholipids and triacylglycerols (TAG) into TAG-rich lipoprotein particles. It remains bound to secreted lipoproteins during lipid metabolism in plasma. The beta1 region (residues 827-1880) of apoB has a high amphipathic beta strand (AbetaS) content and is proposed to be one region anchoring apoB to lipoproteins. The AbetaS-rich region between apoB37 and apoB41 (residues 1694-1880) was cloned, expressed, and purified. The interfacial properties were studied at the triolein/water (TO/W) and air/water (A/W) interfaces. ApoB[37-41] is surface-active and adsorbs to the TO/W interface. After adsorption the unbound apoB[37-41] was removed from the aqueous phase. Adsorbed apoB[37-41] did not desorb and could not be forced off by increasing the surface pressure up to 23 mN/m. ApoB[37-41] adsorbed on the TO/W interface was completely elastic when compressed and expanded by +/-13% of its area. On an A/W interface, the apoB[37-41] monolayer became solid when compressed to 4 mN/m pressure indicating extended beta-sheet formation. It could be reversibly compressed and expanded between low pressure and its collapse pressure (35 mN/m). Our studies confirm that the AbetaS structure of apoB[37-41] is a lipid-binding motif that can irreversibly anchor apoB to lipoproteins.

Effects of the Arctic (E22→G) Mutation on Amyloid β-Protein Folding: Discrete Molecular Dynamics Study

The 40-42 residue amyloid beta-protein (Abeta) plays a central role in the pathogenesis of Alzheimer's disease (AD). Of the two main alloforms, Abeta40 and Abeta42, the longer Abeta42 is linked particularly strongly to AD. Despite the relatively small two amino acid length difference in primary structure, in vitro studies demonstrate that Abeta40 and Abeta42 oligomerize through distinct pathways. Recently, a discrete molecular dynamics (DMD) approach combined with a four-bead protein model recapitulated the differences in Abeta40 and Abeta42 oligomerization and led to structural predictions amenable to in vitro testing. Here, the same DMD approach is applied to elucidate folding of Abeta40, Abeta42, and two mutants, [G22]Abeta40 and [G22]Abeta42, which cause a familial ("Arctic") form of AD. The implicit solvent in the DMD approach is modeled by amino acid-specific hydropathic and electrostatic interactions. The strengths of these effective interactions are chosen to best fit the temperature dependence of the average beta-strand content in Abeta42 monomer, as determined using circular dichroism (CD) spectroscopy. In agreement with these CD data, we show that at physiological temperatures, the average beta-strand content in both alloforms increases with temperature. Our results predict that the average beta-strand propensity should decrease in both alloforms at temperatures higher than approximately 370 K. At physiological temperatures, both Abeta40 and Abeta42 adopt a collapsed-coil conformation with several short beta-strands and a small (<1%) amount of alpha-helical structure. At slightly above physiological temperature, folded Abeta42 monomers display larger amounts of beta-strand than do Abeta40 monomers. At increased temperatures, more extended conformations with a higher amount of beta-strand (approximately < 30%) structure are observed. In both alloforms, a beta-hairpin at A21-A30 is a central folding region. We observe three additional folded regions: structure 1, a beta-hairpin at V36-A42 that exists in Abeta42 but not in Abeta40; structure 2, a beta-hairpin at R5-H13 in Abeta42 but not in Abeta40; and structure 3, a beta-strand A2-F4 in Abeta40 but not Abeta42. At physiological temperatures, the Arctic mutation, E22G, disrupts contacts in the A21-A30 region of both [G22]Abeta peptides, resulting in a less stable main folding region relative to the wild type peptides. The Arctic mutation induces a significant structural change at the N-terminus of [G22]Abeta40 by preventing the formation of structure 3 observed in Abeta40 but not Abeta42, thereby reducing the structural differences between [G22]Abeta40 and [G22]Abeta42 at the N-terminus. [G22]Abeta40 is characterized by a significantly increased amount of average beta-strand relative to the other three peptides due to an induced beta-hairpin structure at R5-H13, similar to structure 2. Consequently, the N-terminal folded structure of the Arctic mutants closely resembles the N-terminal structure of Abeta42, suggesting that both Arctic Abeta peptides might assemble into structures similar to toxic Abeta42 oligomers.

Comparison of predicted binders in Rhipicephalus (Boophilus) microplus intestine protein variants BM86 Campo Grande strain, BM86 and BM95

This paper reports the sequence analysis of Bm86 Campo Grande strain comparing it with Bm86 and Bm95 antigens from the preparations TickGardPLUS and Gavac, respectively. The PCR product was cloned into pMOSBlue and sequenced. The secondary structure prediction tool PSIPRED was used to calculate alpha helices and beta strand contents of the predicted polypeptide. The hydrophobicity profile was calculated using the algorithms from the Hopp and Woods method, in addition to identification of potential MHC class-I binding regions in the antigens. Pair-wise alignment revealed that the similarity between Bm86 Campo Grande strain and Bm86 is 0.2% higher than that between Bm86 Campo Grande strain and Bm95 antigens. The identities were 96.5% and 96.3% respectively. Major suggestive differences in hydrophobicity were predicted among the sequences in two specific regions.

Molecular cloning and characterization of four novel LMW glutenin subunit genes from Aegilops longissima, Triticum dicoccoides and T. zhukovskyi

This paper reports cloning and characterisation of four novel low-molecular-weight glutenin subunit (LMW-GS) genes (designated as TzLMW-m2, TzLMW-m1, TdLMW-m1 and AlLMW-m2) from the genomic DNA of Triticum dicoccoides, T. zhukovskyi and Aegilops longissima. The coding regions of TzLMW-m2, TzLMW-m1, TdLMW-m1 and AlLMW-m2 were 1056 bp, 903 bp, 1056 bp and 1050 bp in length, encoding 350, 300, 350 and 348 amino acid residues, respectively. The deduced amino acid sequences showed that the four novel genes were classified as LMW-m types and the comparison results indicated that the four genes had a more similar structure and a higher level of homology with the LMW-m genes than the LMW-s and -i types genes. However, the first cysteine residue's positions of TzLMW-m2, TdLMW-m1 and AlLMW-m2 were different from the others. Moreover, AlLMW-m2, TdLMW-m1 and TzLMW-m2 all possessed a longer repetitive domain, which was considered to be associated with good quality of wheat. The secondary structure prediction revealed that the content of beta-strand in AlLMW-m2 and TdLMW-m1 exceeded the positive control, suggesting that AlLMW-m2 and TdLMW-m1 should be considered as candidate genes that may have positive effect on dough quality. In order to investigate the evolutionary relationship of the novel genes with the other LMW-GSs, a phylogenetic tree was constructed. The results lead to a speculation that AlLMW-m2, TdLMW-m1 and TzLMW-m2 may be the middle types during the evolution of LMW-m and LMW-s.

Identification of outer membrane proteins of Mycobacterium tuberculosis

The cell wall of mycobacteria includes an unusual outer membrane of extremely low permeability. While Escherichia coli uses more than 60 proteins to functionalize its outer membrane, only two mycobacterial outer membrane proteins (OMPs) are known. The porin MspA of Mycobacterium smegmatis provided the proof of principle that integral mycobacterial OMPs share the beta-barrel structure, the absence of hydrophobic alpha-helices and the presence of a signal peptide with OMPs of gram-negative bacteria. These properties were exploited in a multi-step bioinformatic approach to predict OMPs of M. tuberculosis. A secondary structure analysis was performed for 587 proteins of M. tuberculosis predicted to be exported. Scores were calculated for the beta-strand content and the amphiphilicity of the beta-strands. Reference OMPs of gram-negative bacteria defined threshold values for these parameters that were met by 144 proteins of unknown function of M. tuberculosis. Two of them were verified as OMPs by a novel two-step experimental approach. Rv1698 and Rv1973 were detected only in the total membrane fraction of M. bovis BCG in Western blot experiments, while proteinase K digestion of whole cells showed the surface accessibility of these proteins. These findings established that Rv1698 and Rv1973 are indeed localized in the outer membrane and tripled the number of known OMPs of M. tuberculosis. Significantly, these results provide evidence for the usefulness of the bioinformatic approach to predict mycobacterial OMPs and indicate that M. tuberculosis likely has many OMPs with beta-barrel structure. Our findings pave the way to identify the set of proteins which functionalize the outer membrane of M. tuberculosis.

Improved sequence‐based prediction of protein secondary structures by combining vacuum‐ultraviolet circular dichroism spectroscopy with neural network

Synchrotron-radiation vacuum-ultraviolet circular dichroism (VUVCD) spectroscopy can significantly improve the predictive accuracy of the contents and segment numbers of protein secondary structures by extending the short-wavelength limit of the spectra. In the present study, we combined VUVCD spectra down to 160 nm with neural-network (NN) method to improve the sequence-based prediction of protein secondary structures. The secondary structures of 30 target proteins (test set) were assigned into alpha-helices, beta-strands, and others by the DSSP program based on their X-ray crystal structures. Combining the alpha-helix and beta-strand contents estimated from the VUVCD spectra of the target proteins improved the overall sequence-based predictive accuracy Q(3) for three secondary-structure components from 59.5 to 60.7%. Incorporating the position-specific scoring matrix in the NN method improved the predictive accuracy from 70.9 to 72.1% when combining the secondary-structure contents, to 72.5% when combining the numbers of segments, and finally to 74.9% when filtering the VUVCD data. Improvement in the sequence-based prediction of secondary structures was also apparent in two other indices of the overall performance: the correlation coefficient (C) and the segment overlap value (SOV). These results suggest that VUVCD data could enhance the predictive accuracy to over 80% when combined with the currently best sequence-prediction algorithms, greatly expanding the applicability of VUVCD spectroscopy to protein structural biology.

Energy landscapes of the monomer and dimer of the Alzheimer’s peptide Aβ(1–28)

The cytotoxicity of Alzheimer's disease has been linked to the self-assembly of the 4042 amino acid of the amyloid-beta (Abeta) peptide into oligomers. To understand the assembly process, it is important to characterize the very first steps of aggregation at an atomic level of detail. Here, we focus on the N-terminal fragment 1-28, known to form fibrils in vitro. Circular dichroism and NMR experiments indicate that the monomer of Abeta(1-28) is alpha-helical in a membranelike environment and random coil in aqueous solution. Using the activation-relaxation technique coupled with the OPEP coarse grained force field, we determine the structures of the monomer and of the dimer of Abeta(1-28). In agreement with experiments, we find that the monomer is predominantly random coil in character, but displays a non-negligible beta-strand probability in the N-terminal region. Dimerization impacts the structure of each chain and leads to an ensemble of intertwined conformations with little beta-strand content in the region Leu17-Ala21. All these structural characteristics are inconsistent with the amyloid fibril structure and indicate that the dimer has to undergo significant rearrangement en route to fibril formation.

On the Relation Between the Predicted Secondary Structure and the Protein Size

Accurately predicted protein secondary structure provides useful information for target selection, to analyze protein function and to predict higher dimensional structure. Existing research shows that more data + refined search = better prediction. We analyze relation between the prediction accuracy and another crucial factor, the protein size. Empirical tests performed with two secondary structure predictors on a large set of high-resolution, non-redundant proteins show that the average accuracies for small proteins (<100 residues) equal 73% and 54% for alpha-helices and beta-strands, respectively. The alpha-helix/beta-strand accuracies for very large proteins (>300 residues) equal 77%/68%, respectively. Similarly, the tests with three secondary structure content predictors show that the prediction errors for the small/very large proteins equal 0.13/0.09 and 0.09/0.06 for alpha-helix and beta-strand content, respectively. Our tests confirm that the secondary structure/content predictions for the very large proteins are characterized statistically significantly better quality than prediction for the small proteins. This is in contrast with the tertiary structure predictions in which higher accuracy is obtained for smaller proteins.

Monomer adds to preformed structured oligomers of Abeta-peptides by a two-stage dock-lock mechanism.

Nonfibrillar soluble oligomers, which are intermediates in the transition from monomers to amyloid fibrils, may be the toxic species in Alzheimer's disease. To monitor the early events that direct assembly of amyloidogenic peptides we probe the dynamics of formation of (Abeta(16-22))(n) by adding a monomer to a preformed (Abeta(16-22))(n-1) (n = 4-6) oligomer in which the peptides are arranged in an antiparallel beta-sheet conformation. All atom molecular dynamics simulations in water and multiple long trajectories, for a cumulative time of 6.9 mus, show that the oligomer grows by a two-stage dock-lock mechanism. The largest conformational change in the added disordered monomer occurs during the rapid ( approximately 50 ns) first dock stage in which the beta-strand content of the monomer increases substantially from a low initial value. In the second slow-lock phase, the monomer rearranges to form in register antiparallel structures. Surprisingly, the mobile structured oligomers undergo large conformational changes in order to accommodate the added monomer. The time needed to incorporate the monomer into the fluid-like oligomer grows even when n = 6, which suggests that the critical nucleus size must exceed six. Stable antiparallel structure formation exceeds hundreds of nanoseconds even though frequent interpeptide collisions occur at elevated monomer concentrations used in the simulations. The dock-lock mechanism should be a generic mechanism for growth of oligomers of amyloidogenic peptides.

A Reinvestigation of the Secondary Structure of Functionally Active vSGLT, the Vibrio Sodium/Galactose Cotransporter

The bacterial Na(+)/galactose cotransporter vSGLT of Vibrio parahaemolyticus is a member of the sodium:solute symporter family (SSS). Previous studies using electron microscopy have shown that vSGLT is a monomeric protein. Computational and experimental topological analyses have consistently indicated that this protein possesses 14 transmembrane alpha-helices. Our previous study using attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) to quantitate secondary structure content had indicated, in contrast, an alpha-helical content of only 35%, too little to be consistent with the 14-span model [le Coutre, J., et al. (2002) Biochemistry 41, 8082-6]. ATR-FTIR had also indicated that upon binding of Na(+) and d-galactose, the alpha-helical content increased to 53%. Here we revisit the vSGLT secondary structural distribution using an alternative approach, ultraviolet circular dichroism spectropolarimetry (CD), which is highly accurate in determining the alpha-helical content of a protein in solution. CD spectra were obtained from actively functional, soluble vSGLT and, as an internal check, from a fusion protein of vSGLT and the beta-barrel green fluorescent protein (GFP). Far-UV CD of vSGLT indicates a predominating 85% alpha-helical content, and an absence of beta-strands. Far-UV CD of the vSGLT-GFP fusion corroborates this profile, indicating an equivalent alpha-helical content, and a beta-strand content consistent with the GFP contribution. No detectable substrate-induced macroscopic changes in secondary structure are apparent in the far UV. In the near UV, increases in positive CD intensity occur in a stepwise manner with added substrates, implying changing environments of aromatic amino acid residues. CD thus confirms the current 14-transmembrane span model of vSGLT and reveals distinct substrate-induced conformational changes. The high percentage of alpha-helical structure found requires, when considered in the context of membrane topology, that nearly a third of the total alpha-helical fraction lies in extramembrane domains, which distinguishes this cotransporter from the unrelated lactose and glycerol 3-phosphate transporters.

Improved Estimation of the Secondary Structures of Proteins by Vacuum-Ultraviolet Circular Dichroism Spectroscopy

The vacuum-ultraviolet circular dichroism (VUVCD) spectra of 16 globular proteins (insulin, lactate dehydrogenase, glucose isomerase, lipase, conalbumin, transferrin, catalase, subtilisin A, alpha-amylase, staphylococcal nuclease, papain, thioredoxin, carbonic anhydrase, elastase, avidin, and xylanase) were successfully measured in aqueous solutions at 25 degrees C from 260 to 160 nm under a high vacuum using a synchrotron-radiation VUVCD spectrophotometer. These proteins exhibited characteristic CD spectra below 190 nm that were related to their different secondary structures, which could not be detected with a conventional CD spectrophotometer. The component spectra of alpha-helices, beta-strands, turns, and unordered structures were obtained by deconvolution analysis of the VUVCD spectra of 31 reference proteins including the 15 proteins reported in our previous paper [Matsuo, K. et al. (2004) J. Biochem. 135, 405-411]. Prediction of the secondary-structure contents using the SELCON3 program was greatly improved, especially for alpha-helices, by extending the short-wavelength limit of CD spectra to 160 nm and by increasing the number of reference proteins. The numbers of alpha-helix and beta-strand segments, which were calculated from the distorted alpha-helix and beta-strand contents, were close to those obtained on X-ray crystallography. These results demonstrate the usefulness of synchrotron-radiation VUVCD spectroscopy for the secondary structure analysis of proteins.

Aqueous urea solution destabilizes Abeta(16-22) oligomers.

We use long multiple trajectories generated by molecular dynamics simulations to probe the stability of oligomers of Abeta(16-22) (KLVFFAE) peptides in aqueous urea solution. High concentration of urea promotes the formation of beta-strand structures in Abeta(16-22) monomers, whereas in water they adopt largely compact random coil structures. The tripeptide system, which forms stable antiparallel beta-sheet structure in water, is destabilized in urea solution. The enhancement of beta-strand content in the monomers and the disruption of oligomeric structure occur largely by direct interaction of urea with the peptide backbone. Our simulations suggest that the oligomer unbinding dynamics is determined by two opposing effects, namely, by the increased propensity of monomers to form beta-strands and the rapid disruption of the oligomers. The qualitative conclusions are affirmed by using two urea models. Because the proposed destabilization mechanism depends largely on hydrogen bond formation between urea and the peptide backbone, we predict that high urea concentration will destabilize oligomers of other amyloidogenic peptides as well.

The C-terminal domain of Escherichia coli Hfq increases the stability of the hexamer.

The Hfq (Host factor 1) polypeptide is a nucleic acid binding protein involved in the synthesis of many polypeptides. Hfq particularly affects the translation and the stability of several RNAs. In an earlier study, the use of fold recognition methods allowed us to detect a relationship between Escherichia coli Hfq and the Sm topology. This topology was further validated by a series of biophysical studies and the Hfq structure was modelled on an Sm protein. Hfq forms a beta-sheet ring-shaped hexamer. As our previous study predicted a large number of alternative conformations for the C-terminal region, we have determined whether the last 19 C-terminal residues are necessary for protein function. We find that the C-terminal truncated protein is fully capable of binding a polyadenylated RNA (K(d) of 120 pm vs. 50 pm for full-length Hfq). This result shows that the functional core of E. coli Hfq resides in residues 1-70 and confirms previous genetic studies. Using equilibrium unfolding studies, however, we find that full-length Hfq is 1.8 kcal x mol(-1) more stable than its truncated variant. Electron microscopy analysis of both truncated and full-length proteins indicates a structural rearrangement between the subunits upon truncation. This conformational change is coupled to a reduction in beta-strand content, as determined by Fourier transform infra-red. On the basis of these results, we propose that the C-terminal domain could protect the interface between the subunits and stabilize the hexameric Hfq structure. The origin of this C-terminal domain is also discussed.

Secondary-structure analysis of proteins by vacuum-ultraviolet circular dichroism spectroscopy.

The vacuum ultraviolet circular dichroism (VUVCD) spectra of 15 globular proteins (myoglobin, hemoglobin, human serum albumin, cytochrome c, peroxidase, alpha-lactalbumin, lysozyme, ovalbumin, ribonuclease A, beta-lactoglobulin, pepsin, trypsinogen, alpha-chymotrypsinogen, soybean trypsin inhibitor, and concanavalin A) were measured in aqueous solutions at 25 degrees C in the wavelength region from 260 to 160 nm under a high vacuum, using a synchrotron-radiation VUVCD spectrophotometer. The VUVCD spectra below 190 nm revealed some characteristic bands corresponding to different secondary structures. The contents of alpha-helices, beta-strands, turns, and unordered structures were estimated using the SELCON3 program with VUVCD spectra data on the 15 proteins. Prediction of the secondary-structure contents was greatly improved by extending the circular dichroism spectra to 165 nm. The numbers of alpha-helix and beta-strand segments calculated from the distorted alpha-helix and beta-strand contents did not differ greatly from those obtained from X-ray crystal structures. These results demonstrate that synchrotron-radiation VUVCD spectroscopy is a powerful tool for analyzing the secondary structures of proteins.

TOPS: an enhanced database of protein structural topology.

The TOPS database holds topological descriptions of protein structures. These compact and highly abstract descriptions reduce the protein fold to a sequence of Secondary Structure Elements (SSEs) and three sets of pairwise relationships between them, hydrogen bonds relating parallel and anti- parallel beta strands, spatial adjacencies relating neighbouring SSEs, and the chiralities of selected supersecondary structures, including connections in betaalphabeta units and between parallel alpha helices. The database is used as a resource for visualizing folding topologies, fast topological pattern searching and structure comparison. Here, significant enhancements to the TOPS database are described. The topological description has been enhanced to include packing relationships between helices, which significantly improves the description of protein folds with little beta strand content. Further, the topological description has been annotated with sequence information. The query interfaces to the database have been improved and the new version can be found at http://www.tops.leeds.ac.uk/.