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PubMed2003

Theoretical analysis of residual dipolar coupling patterns in regular secondary structures of proteins.

A new approach to the interpretation of residual dipolar couplings for the regular secondary structures of proteins is presented. This paper deals with the analysis of the steric and chiral requirements of protein secondary structures and establishes a quantitative correlation between structure periodicity and the experimental values of the backbone residual dipolar couplings. Building on the recent interpretation of the periodicity of residual dipolar couplings in alpha-helices (i.e., "dipolar waves"), a general parametric equation for fitting the residual dipolar couplings of any regular secondary structure is derived. This equation interprets the modulation of the residual dipolar couplings' periodicity in terms of the secondary structure orientation with respect to an arbitrary reference frame, laying the groundwork for using backbone residual dipolar couplings as a fast tool for determining protein folding by NMR spectroscopy.

Models, Chemical↗
PubMed1995

Graph-theoretical assignment of secondary structure in multidimensional protein NMR spectra: application to the lac repressor headpiece.

A novel procedure is presented for the automatic identification of secondary structures in proteins from their corresponding NOE data. The method uses a branch of mathematics known as graph theory to identify prescribed NOE connectivity patterns characteristic of the regular secondary structures. Resonance assignment is achieved by connecting these patterns of secondary structure together, thereby matching the connected spin systems to specific segments of the protein sequence. The method known as SERENDIPITY refers to a set of routines developed in a modular fashion, where each program has one or several well-defined tasks. NOE templates for several secondary structure motifs have been developed and the method has been successfully applied to data obtained from NOESY-type spectra. The present report describes the application of the SERENDIPITY protocol to a 3D NOESY-HMQC spectrum of the 15N-labelled lac repressor headpiece protein. The application demonstrates that, under favourable conditions, fully automated identification of secondary structures and semi-automated assignment are feasible.

Amino Acid Sequence↗
PubMed1994

SOPM: a self-optimized method for protein secondary structure prediction.

A new method called the self-optimized prediction method (SOPM) has been developed to improve the success rate in the prediction of the secondary structure of proteins. This new method has been checked against an updated release of the Kabsch and Sander database, 'DATABASE.DSSP', comprising 239 protein chains. The first step of the SOPM is to build sub-databases of protein sequences and their known secondary structures drawn from 'DATABASE.DSSP' by (i) making binary comparisons of all protein sequences and (ii) taking into account the prediction of structural classes of proteins. The second step is to submit each protein of the sub-database to a secondary structure prediction using a predictive algorithm based on sequence similarity. The third step is to iteratively determine the predictive parameters that optimize the prediction quality on the whole sub-database. The last step is to apply the final parameters to the query sequence. This new method correctly predicts 69% of amino acids for a three-state description of the secondary structure (alpha helix, beta sheet and coil) in the whole database (46,011 amino acids). The correlation coefficients are C alpha = 0.54, C beta = 0.50 and Cc = 0.48. Root mean square deviations of 10% in the secondary structure content are obtained. Implications for the users are drawn so as to derive an accuracy at the amino acid level and provide the user with a guide for secondary structure prediction. The SOPM method is available by anonymous ftp to ibcp.fr.

Algorithms↗
PubMed1992

Extending CD spectra of proteins to 168 nm improves the analysis for secondary structures.

The CD spectra for 10 proteins with known secondary structure have been extended from 178 to 168 nm. Combined with the data for 6 other proteins investigated previously, this produces a basis set of 16 proteins, which can be used to analyze CD spectra for secondary structure. Extending the spectra adds another CD band to the data and increases the information content from the equivalent of five to six. Analyzing the CD for each of the 16 proteins in the basis set with the 15 other proteins shows a modest improvement in the prediction of secondary structure with the extended CD spectra.

Circular Dichroism↗
PubMed1992

An algorithm for comparing RNA secondary structures and searching for similar substructures.

To access the functional informations carried by RNA molecules at the level of their secondary structure interactions, we propose a comparison method based on a tree edit algorithm which takes into account the tree structure of RNA foldings. Any secondary structure is translated into a tree involving all its elementary substructures; then a shorter condensed tree is built in which any unbranched helix interspersed with bulges and interior loops is taken as a single node. This method includes several parameters: a comparison matrix between structural units, gap penalties, and the scoring between nodes of the condensed trees. Their effects have been analysed using as a model a rapidly divergent domain of the large ribosomal RNA, for which structural variation during evolution is well known. This method allows one to recognize precisely, in large target molecules, definite substructures that present with the query molecules only a limited set of closely related secondary structure features; it is still efficient if intervening features, which can correspond to insertion/deletion of entire stem regions, separate such structural elements. When coupled with a hierarchical clustering algorithm, this method is suitable for classifying RNA molecules according to their secondary structure homologies.

Algorithms↗
PubMed1990

Estimation of protein secondary structure and error analysis from circular dichroism spectra.

The estimation of protein secondary structure from circular dichroism spectra is described by a multivariate linear model with noise (Gauss-Markoff model). With this formalism the adequacy of the linear model is investigated, paying special attention to the estimation of the error in the secondary structure estimates. It is shown that the linear model is only adequate for the alpha-helix class. Since the failure of the linear model is most likely due to nonlinear effects, a locally linearized model is introduced. This model is combined with the selection of the estimate whose fractions of secondary structure summate to approximately one. Comparing the estimation from the CD spectra with the X-ray data (by using the data set of W.C. Johnson Jr., 1988, Annu. Rev. Biophys. Chem. 17, 145-166) the root mean square residuals are 0.09 (alpha-helix), 0.12 (anti-parallel beta-sheet), 0.08 (parallel beta-sheet), 0.07 (beta-turn), and 0.09 (other). These residuals are somewhat larger than the errors estimated from the locally linearized model. In addition to alpha-helix, in this model the beta-turn and "other" class are estimated adequately. But the estimation of the antiparallel and parallel beta-sheet class remains unsatisfactory. We compared the linear model and the locally linearized model with two other methods (S. W. Provencher and J. Glöckner, 1981, Biochemistry 20, 1085-1094; P. Manavalan and W. C. Johnson Jr., 1988, Anal. Biochem. 167, 76-85). The locally linearized model and the Provencher and Glöckner method provided the smallest residuals. However, an advantage of the locally linearized model is the estimation of the error in the secondary structure estimates.

Circular Dichroism↗
PubMed1996

Secondary structure of NADPH: protochlorophyllide oxidoreductase examined by circular dichroism and prediction methods.

To study the secondary structure of the enzyme NADPH: protochlorophyllide oxidoreductase (PCOR), a novel method of enzyme isolation was developed. The detergent isotridecyl poly-(ethylene glycol) ether (Genapol X-080) selectively solubilizes the enzyme from a prolamellar-body fraction isolated from wheat (Triticum aestivum L.). The solubilized fraction was further purified by ion-exchange chromatography. The isolated enzyme was studied by fluorescence spectroscopy at 77 K, and by CD spectroscopy. The fluorescence-emission spectra revealed that the binding properties of the substrate and co-substrate were preserved and that photo-reduction occurred. The CD spectra of PCOR were analysed for the relative amounts of the secondary structures, alpha-helix, beta-sheet, turn and random coil. The secondary structure composition was estimated to be 33% alpha-helix, 19% beta-sheet, 20% turn and 28% random coil. These values are in agreement with those predicted by the Predict Heidelberg Deutschland and self-optimized prediction method from alignments methods. The enzyme has some amino acid identity with other NADPH-binding enzymes containing the Rossmann fold. The Rossmann-fold fingerprint motif is localized in the N-terminal region and at the expected positions in the predicted secondary structure. It is suggested that PCOR is anchored to the interfacial region of the membrane by either a beta-sheet or an alpha-helical region containing tryptophan residues. A hydrophobic loop-region could also be involved in membrane anchoring.

Amino Acid Sequence↗
PubMed1997

Fold recognition using predicted secondary structure sequences and hidden Markov models of protein folds.

We present an analysis of the blind predictions submitted to the fold recognition category for the second meeting on the Critical Assessment of techniques for protein Structure Prediction. Our method achieves fold recognition from predicted secondary structure sequences using hidden Markov models (HMMs) of protein folds. HMMs are trained only with experimentally derived secondary structure sequences of proteins having similar fold, therefore protein structures are described by the models at a remarkably simplified level. We submitted predictions for five target sequences, of which four were later found to be suitable for threading. Our approach correctly predicted the fold for three of them. For a fourth sequence the fold could have been correctly predicted if a better model for its structure was available. We conclude that we have additional evidence that secondary structure information represents an important factor for achieving fold recognition.

Algal Proteins↗
PubMed1979

Predicted secondary structures of four penicillin beta-lactamases and a comparison with two lysozymes.

We have predicted the secondary structures of four beta-lactamases (Bacillus cereus, Bacillus licheniformis, Staphylococcus aureus, and Escherichia coli R-TEM) by the statistical method of Chou & Fasman as well as by the information theory method of Garnier et al. The secondary structures of all four beta-lactamases are of the alpha/beta type (Levitt & Chothia's nomenclature), with helices at N- and C-termini. There are about eight short regions each of alpha-helical (30--50%) and beta-strand (10--20%) structure separated by about 20 reverse turns. The conformation of the Gram-positive and Gram-negative beta-lactamases are generally similar although a few differences are predicted between the S.aureus and E.coli structures. Surprisingly, the two bacilli structures differ significantly in three short regions. In all four enzymes the region near the catalytically-implicated tyrosine has similar secondary structure. The secondary structure of hen egg white lysozyme, a penicillin-binding enzyme, as well as T4 phage lysozyme, has similarities to the N-terminal half of the penicillin-destroying beta-lactamases.

Amino Acid Sequence↗
PubMed1993

The influence of 5'-secondary structures upon ribosome binding to mRNA during translation in yeast.

The influence of 5'-secondary structure formation and 5'-leader length upon mRNA translation in yeast has been analyzed using a closely related set of cat mRNAs (Vega Laso, M. R., Zhu, D., Sagliocco, F. A., Brown, A. J. P., Tuite, M. F., and McCarthy, J. E. G. (1993) J. Biol. Chem. 268, 6453-6462). A cat mRNA with a relatively short unstructured 5'-leader (22 bases) had a ribosome loading about half that of a cat mRNA with an unstructured 5'-leader of 77 bases. The introduction of 5'-secondary structures at various positions throughout the 5'-leader of the cat mRNA inhibited translation initiation, the degree of inhibition being largely dependent upon the thermodynamic stability of the structure. Each mRNA carrying a 5'-secondary structure had a biphasic polysome distribution, indicating that the mRNA molecules were distributed between untranslated and well translated subpopulations. This suggests that once 5'-secondary structures are unwound, they reform slowly relative to the rate of translation initiation in yeast. Untranslated mRNA accumulated in 43 S preinitiation complexes, even when there were only 5 bases between the 5'-cap and the base of the hairpin. The data are consistent with the scanning hypothesis (Kozak, M. (1989) J. Cell. Biol. 108, 229-241) and suggest that 40 S ribosomal subunits bind to mRNA early in the scanning process, probably before mRNA unwinding has taken place.

Chloramphenicol O-Acetyltransferase↗
PubMedDate not supplied

[The characteristics of the action of gamma irradiation on the secondary structure of ribonuclease in vitro and the effect of oxygen on this process].

The change in the secondary structure of ribonuclease after 60Co gamma irradiation with a dose of 1,000 Gy in 0.2% aqueous solution was estimated using the circular dichroism method. The beta structures were significantly changed, while other types of the secondary structure (alpha-helix and beta-turns) changed insignificantly. The secondary structure injury was also affected by oxygen. The data are attributed to characteristics of the secondary structure of this enzyme.

Animals↗
PubMed1999

Foldability of barnase mutants obtained by permutation of modules or secondary structure units.

Modules, defined as stable, compact structure units in a globular protein, are good candidates for the construction of novel foldable proteins by permutation. Here we decomposed barnase into six modules (M1-M6) and constructed 23 barnase mutants containing permutations of the internal four (M2-M5) out of six modules. Globular proteins can also be subdivided into secondary structure units based on the extended structures that control the mutual relationships of the modules. We also decomposed barnase into six secondary structure units (S1-S6) and constructed 21 barnase mutants containing permutations of the internal four (S2-S5) out of six secondary structure units. Foldability of these two types of mutants was assessed by means of circular dichroism, fluorescence, and 1H-NMR measurements. A total of 15 of 23 module mutants and 15 of 21 secondary structure unit mutants formed definite secondary structures, such as alpha-helix and beta-sheet, at 20 microM owing to intermolecular interactions, but most of them converted to random coil structures at a lower concentration (1 microM). Of the 44 mutants, only two, M3245 and S2543, gave distinct near-UV CD spectra. S2543 especially showed definite signal dispersion in the amide and methyl regions of the 1H-NMR spectrum, though M3245 did not. Furthermore, urea-induced unfolding of S2543 monitored by far-UV CD and fluorescence measurements showed a distinct cooperative transition. These results strongly suggest that S2543 takes partially folded conformations in aqueous solution. Our results also suggest that building blocks such as secondary structure units capable of taking different stable conformations by adapting themselves to the surrounding environment, rather than building blocks such as modules having a specified stable conformation, are required for the formation of foldable proteins. Therefore, the use of secondary structure units for the construction of novel globular proteins is likely to be an effective approach.

Amino Acid Sequence↗
PubMed1987

Prediction of secondary structure, spatial organization and distribution of antigenic determinants for hepatitis A virus proteins.

On the basis of the secondary structure calculations from the known amino acid sequence we came to the conclusion that hepatitis A virus capsid proteins have the typical antiparallel beta-sheet bilayer structure. The predicted secondary structure of the HAV proteins can be well aligned with those of the poliovirus (type 1 Mahoney) and human rhinovirus (type 14). It enabled us to use the X-ray structure of the PV-1M and HRV-14 proteins as a template and then, firstly, to localize the positions of alpha and beta regions in the architecture of the HAV protein molecules and, secondly, to discover the amino acid homologies of the secondary structure regions aligned. The obtained model of the three-dimensional structure for HAV proteins helped us to indicate the exposed regions of the polypeptide chains and to pinpoint the potential neutralizing antigenic sites.

Amino Acid Sequence↗
PubMed2006

Natural selection is not required to explain universal compositional patterns in rRNA secondary structure categories.

We have encountered an unexpected property of rRNA secondary structures that may generalize to all RNAs. Analysis of 8892 ribosomal RNA sequences and structures from a wide range of species revealed unexpected universal compositional trends. First, different categories of rRNA secondary structure (stems, loops, bulges, and junctions) have distinct, characteristic base compositions. Second, the observed patterns of variation are similar among sequences from large and small rRNA subunits and all domains of life, despite extensive evolutionary divergence. Surprisingly, these differences do not seem to be related to selection for different compositions in different structural categories, but rather relate to the overall composition of the molecule: Randomized RNAs with no evolutionary history show the same structure-dependent compositional biases as rRNAs. These compositional trends may improve the accuracy of RNA secondary structure prediction, because they allow us to compare predicted structures against known compositional preferences. They also suggest caution in interpreting differences in the rate of change of the GC content in different parts of the molecule as evidence of differential selection.

Base Composition↗
PubMed1998

Use of CD and FT-IR to determine the secondary structure of purified proteins in the low-microgram range.

The spectroscopic characterization of protein secondary structure is often partially unreliable when samples are not extremely pure and abundant. This problem may be overcome by the combination of circular dichroism (CD) and Fourier transform infrared spectroscopy (FT-IR). We used these methods to characterize the secondary structure of two proteins of neurobiological interest, calexcitin (CE) and the cellular isoform of prion protein (PrPC). Both proteins were purified with multiple chromatographic steps and were obtained in buffer with high purity (> 95%) and in low amount (approximately 2 micrograms). The samples were analyzed by circular dichroism (down to 184 or 182 nm), recovered, and deposited on films for infrared analysis. The spectral deconvolution from the two methods yielded secondary structures in good agreement with each other as well as with theoretical predictions based on amino acid sequence. The conformation of CE was found to be dependent on its concentration and on calcium binding. The secondary structure of cellular native PrP varied dramatically with the detergent used. In conclusion, the combination of CD and FT-IR analysis is suitable for the characterization of the conformational changes induced by ligand binding and/or by different solvent conditions when the protein of interest is only scarcely available. The methods used here provide valuable insights into the putative correlation between protein structure and activity.

Algorithms↗
PubMed1986

The 3'-nucleotides of flavivirus genomic RNA form a conserved secondary structure.

The terminal noncoding regions of viral RNA genomes are presumed to contain signal sequences and sometimes also secondary structures involved in regulating viral RNA synthesis. Such signals would be expected to be highly conserved among related viruses. In order to identify replication signal features for flaviviruses we have compared the 3'-terminal nucleotide sequences of West Nile virus (WNV), Saint Louis encephalitis (SLE) virus, and yellow fever virus (YFV) genome RNAs. The existence of a stable 3'-terminal secondary structure was previously predicted by a cDNA sequence obtained from YFV genome RNA. We have confirmed the existence of this structure by direct RNA sequencing methods. Even though the size and shape of the 3'-terminal secondary structure is highly conserved, sequence conservation is restricted to the loop regions of the secondary structure and to 27 nucleotides immediately adjacent to the 5' side of the structure. The regions of conserved sequence represent likely signals for viral polymerase recognition and binding. However, the preservation of the configuration of the secondary structure by a means other than sequence conservation indicate that this structure is important for the survival of the virus. A WNV mutant, which replicates progeny genome RNA more efficiently than parental WNV, was found to have a 3'-genomic sequence identical to that of its parent virus. The sequence change conferring the phenotype of this mutant is therefore located in another region of the genome.

Base Sequence↗
PubMed2003

Secondary structure in the nucleic acid affects the rate of HIV-1 nucleocapsid-mediated strand annealing.

We studied the effects of human immunodeficiency virus type 1 (HIV-1) nucleocapsid (NC) protein on the kinetics of annealing of nucleic acids using model substrates derived from the 3' end of the HIV-1 minus-strand strong-stop DNA (-sssDNA). We used HIV-1 reverse transcriptase (RT) to monitor the annealing reaction. Using several different DNA primers and acceptor oligonucleotides, we found that the rate of annealing increased with the size of the complementary region of the primer and the acceptor strands and decreased when secondary structures could be formed in either the primer or the acceptor strands. The secondary structure had a larger effect on the rate of annealing if the secondary structure extends to the 3' end of the nucleic acid(s). NC protein reduced the rate of annealing between strands with short homologies. NC had no major effect on the rate of annealing when there were at least 13 bases of complementarity between the primer and the acceptor strands and neither strand could form a stable secondary structure. NC increased the rate of annealing when the primer and/or the acceptor strand could form a secondary structure in the region of complementarity. When two strands were in competition as acceptors in an annealing reaction, the specificity of the annealing was determined by the length of the complementarity between the primer and the acceptor strands, the presence or the absence of secondary structures in the primer and/or the acceptor strand, and the presence or the absence of NC in the reaction. This suggests that NC facilitates strand transfer where the nucleic acids have considerable secondary structure (for example, the first strand transfers for viruses whose genomes have considerable secondary structure at their 3' ends). However, NC also appears to increase the fidelity of recombination by reducing strand transfers between segments that have limited complementarity.

Base Sequence↗
PubMed2002

Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

Secondary structure predictions are increasingly becoming the workhorse for several methods aiming at predicting protein structure and function. Here we use ensembles of bidirectional recurrent neural network architectures, PSI-BLAST-derived profiles, and a large nonredundant training set to derive two new predictors: (a) the second version of the SSpro program for secondary structure classification into three categories and (b) the first version of the SSpro8 program for secondary structure classification into the eight classes produced by the DSSP program. We describe the results of three different test sets on which SSpro achieved a sustained performance of about 78% correct prediction. We report confusion matrices, compare PSI-BLAST to BLAST-derived profiles, and assess the corresponding performance improvements. SSpro and SSpro8 are implemented as web servers, available together with other structural feature predictors at: http://promoter.ics.uci.edu/BRNN-PRED/.

Algorithms↗