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Thermodynamic and phylogenetic prediction of RNA secondary structures in the coding region of hepatitis C virus.

The existence and functional importance of RNA secondary structure in the replication of positive-stranded RNA viruses is increasingly recognized. We applied several computational methods to detect RNA secondary structure in the coding region of hepatitis C virus (HCV), including thermodynamic prediction, calculation of free energy on folding, and a newly developed method to scan sequences for covariant sites and associated secondary structures using a parsimony-based algorithm. Each of the prediction methods provided evidence for complex RNA folding in the core- and NS5B-encoding regions of the genome. The positioning of covariant sites and associated predicted stem-loop structures coincided with thermodynamic predictions of RNA base pairing, and localized precisely in parts of the genome with marked suppression of variability at synonymous sites. Combined, there was evidence for a total of six evolutionarily conserved stem-loop structures in the NS5B-encoding region and two in the core gene. The virus most closely related to HCV, GB virus-B (GBV-B) also showed evidence for similar internal base pairing in its coding region, although predictions of secondary structures were limited by the absence of comparative sequence data for this virus. While the role(s) of stem-loops in the coding region of HCV and GBV-B are currently unknown, the structure predictions in this study could provide the starting point for functional investigations using recently developed self-replicating clones of HCV.

Base Sequence↗

Attenuation in the Escherichia coli tryptophan operon: role of RNA secondary structure involving the tryptophan codon region.

The secondary structure of the terminated trp leader transcript from Escherichia coli was analyzed by RNase T1 partial digestion. Base-paired regions were recovered by nondenaturing gel electrophoresis and identified by denaturing gel electrophoresis and fingerprinting. The tandem tryptophan codons in the leader peptide coding region were found to be base paired with a more distal region of the transcript. This and other secondary structures that the trp leader RNA can form help explain the physiological response of the operon as well as the behavior of regulatory mutants.

Codon↗

Secondary structures of influenza and Sendai Virus RNAs.

The secondary structures of influenza and Sendai virus RNAs were investigated by thermal denaturation, circular dichroism and proflavine binding methods. In 0.1 M NaCl about 60% of the bases of both RNAs were involved in secondary structure. The melting temperatures (Tm) of both viral RNAs were linear functions of the logarithm of the sodium ion concentration in solution, but under all ionic conditions the melting temperatures of Sendai virus RNA were higher than those of influenza virus RNA. At all ionic strengths the melting range of Sendai virus RNA was less than influenza virus RNA, indicating that the helical regions in Sendai virus RNA were longer than those in influenza virus RNA. Although Sendai virus RNA had a higher thermal stability than influenza virus RNA, hyperchromicity and circular dichroism data showed that Sendai virus RNA had less G+C content (34%) within the double stranded regions than influenza virus RNA (48%). The binding isotherms of Sendai and influenza virus RNA-proflavine complexes were studied at different ionic strengths. The number of binding sites of proflavine with influenza virus RNA were significantly lower than those with Sendai virus RNA. These results demonstrate the essential difference between the secondary and tertiary structures of the RNAs under study.

Base Composition↗

Robust prediction of consensus secondary structures using averaged base pairing probability matrices.

MOTIVATION: Recent transcriptomic studies have revealed the existence of a considerable number of non-protein-coding RNA transcripts in higher eukaryotic cells. To investigate the functional roles of these transcripts, it is of great interest to find conserved secondary structures from multiple alignments on a genomic scale. Since multiple alignments are often created using alignment programs that neglect the special conservation patterns of RNA secondary structures for computational efficiency, alignment failures can cause potential risks of overlooking conserved stem structures. RESULTS: We investigated the dependence of the accuracy of secondary structure prediction on the quality of alignments. We compared three algorithms that maximize the expected accuracy of secondary structures as well as other frequently used algorithms. We found that one of our algorithms, called McCaskill-MEA, was more robust against alignment failures than others. The McCaskill-MEA method first computes the base pairing probability matrices for all the sequences in the alignment and then obtains the base pairing probability matrix of the alignment by averaging over these matrices. The consensus secondary structure is predicted from this matrix such that the expected accuracy of the prediction is maximized. We show that the McCaskill-MEA method performs better than other methods, particularly when the alignment quality is low and when the alignment consists of many sequences. Our model has a parameter that controls the sensitivity and specificity of predictions. We discussed the uses of that parameter for multi-step screening procedures to search for conserved secondary structures and for assigning confidence values to the predicted base pairs. AVAILABILITY: The C++ source code that implements the McCaskill-MEA algorithm and the test dataset used in this paper are available at http://www.ncrna.org/papers/McCaskillMEA/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Algorithms↗

Boar sperm proacrosin infrared investigation: secondary structure analysis after autoactivation and suramin binding.

Fourier transform infrared spectroscopy was used to investigate the secondary structure of boar sperm proacrosin at p2H 5.5, to determine the structural changes following protein autoactivation to beta-acrosin at p2H 8.0 and to study the effect of suramin binding on the protein secondary structure. At p2H 5.5, proacrosin contents of alpha-helix, beta-sheet, turns, and unordered structures were estimated to be 9, 49-51, 16-18, and 24%, respectively. At p2H 8.0, the protein was partially insoluble; spectral analysis of the soluble fraction, which contained beta-acrosin, showed an overall secondary structure quite similar to that of proacrosin at p2H 5.5. However, p2H 8.0 spectra of the soluble protein (beta-acrosin), together with the thermal denaturation experiments, indicated that, compared to proacrosin, beta-acrosin showed an increased content of beta-sheets exposed to the solvent as well as a different tertiary structure. Proacrosin/suramin interaction at p2H 5.5 resulted in the formation of soluble and insoluble complexes and the relevant infrared spectra showed only minor differences with respect to the native proacrosin. However, the thermal denaturation curves revealed that suramin induced a destabilization of proacrosin structure. The data also indicated that suramin could modify the interaction characteristics of proacrosin aspartyl and glutamyl residues, thus suggesting competition of suramin with these two residues for ionic interactions.

Acrosin↗

The secondary structure of ribonuclease P RNA, the catalytic element of a ribonucleoprotein enzyme.

Secondary structure models for the ribonuclease (RNAase) P RNAs of Bacillus subtilis and E. coli were derived by a phylogenetic comparative analysis of published sequences as well as four novel ones. The RNAase P RNA genes from Bacillus megaterium, Bacillus brevis, Bacillus stearothermophilus, and Pseudomonas fluorescens were cloned, sequenced, and compared with the other available sequences. Regions of pairing were identified by the occurrence of homologous complementary sequences that vary among the compared molecules. A common core of primary and secondary structure can be identified in all these RNAase P RNAs. The previously noted striking differences between the Bacillus and the enteric RNAase P RNAs arise not only from point mutations, but from the addition or deletion of structural domains. The primary and secondary structural features that are common to all of the RNAase P RNAs are likely to be the elements involved in the binding and cleavage of tRNA precursors, and in the interaction with the RNAase P protein.

Bacillus↗

Probability-based protein secondary structure identification using combined NMR chemical-shift data.

For a long time, NMR chemical shifts have been used to identify protein secondary structures. Currently, this is accomplished through comparing the observed (1)H(alpha), (13)C(alpha), (13)C(beta), or (13)C' chemical shifts with the random coil values. Here, we present a new protocol, which is based on the joint probability of each of the three secondary structural types (beta-strand, alpha-helix, and random coil) derived from chemical-shift data, to identify the secondary structure. In combination with empirical smooth filters/functions, this protocol shows significant improvements in the accuracy and the confidence of identification. Updated chemical-shift statistics are reported, on the basis of which the reliability of using chemical shift to identify protein secondary structure is evaluated for each nucleus. The reliability varies greatly among the 20 amino acids, but, on average, is in the order of: (13)C(alpha)>(13)C'>(1)H(alpha)>(13)C(beta)>(15)N>(1)H(N) to distinguish an alpha-helix from a random coil; and (1)H(alpha)>(13)C(beta) >(1)H(N) approximately (13)C(alpha) approximately (13)C' approximately (15)N for a beta-strand from a random coil. Amide (15)N and (1)H(N) chemical shifts, which are generally excluded from the application, in fact, were found to be helpful in distinguishing a beta-strand from a random coil. In addition, the chemical-shift statistical data are compared with those reported previously, and the results are discussed. A JAVA User Interface program has been developed to make the entire procedure fully automated and is available via http://ccsr3150-p3.stanford.edu.

Amino Acids↗

Secondary structures in polyoma DNA.

Three reproducible secondary-structure features were observed on single strands of polyoma virus DNA mounted for electron microscopy by the T4 gene 32 protein technique: (i) a hairpin fold-back extending from 92.9 +/- 0.8 to 95.0 +/- 0.7 map units; (ii) a small loop extending from 63.2 +/- 3.1 to 68.5 +/- 2.8 map units; and (iii) a big loop extending from 51.9 +/- 2.3 to 68.9 +/- 2.1 map units. Both loops are bounded by inverted repeat stems of length 40 +/- 20 base pairs. The stem sequences around 68.5 and 68.9 of the large and small loops overlap, either partially or completely. Several lines of evidence indicate that the inverted repeat stems of the two secondary-structure loops lie in the regions of polyoma virus DNA flanking and probably very close to the sequences that are spliced out in the formation of the late 16S and 18S messages, whereas the hairpin fold-back appears to map at a splicing point of an early message. These structures may therefore be important for the processing of the primary transcripts to form the early and late messages.

DNA Restriction Enzymes↗

Correlation of secondary structures of bradykinin B1 receptor antagonists with their activity.

The secondary structure of a bradykinin B(1)receptor antagonist B-10324 (F5C-Lys-(1)- Lys(0)-Arg(1)-Pro(2)- Hyp(3)-Gly(4)-CpG(5)- Ser(6)-DTic(7)-CpG(8)) was determined by NMR at 800MHz. The conformational data are compared with those obtained previously for two bradykinin B(1) receptor antagonists, namely B-9858 (Lys-(1)- Lys(0)-Arg(1)-Pro(2)- Hyp(3)-Gly(4)-Igl(5)- Ser(6)-DIgl(7)-Oic(8)) and B-10148 (Lys-(1)-Lys(0)-Arg(1)- Pro(2)-Hyp(3)-Gly(4)- Igl(5)-Ser(6)-DF5F(7)- Oic(8)). The abnormal amino acids are: Hyp, trans-4- hydroxyproline; Tic, 1, 2, 3, 4-tetrahydroisoquinoline-3-carboxylic acid; Oic, (2S, 3aS, 7aS)-octahydroindole-2-carboxylic acid; Igl, alpha(2- indanyl)glycine; F5F, 2,3,4,5,6-pentafluorophenylalanine; CpG, alpha- cyclopentylglycine. F5C, pentafluorocinnamoyl, is the N-terminal protecting group and is not involved in the peptide secondary structure. B-10324 contains an N-terminal Pro(2)- CpG(5) distorted type II beta-turn whereas the rest of the peptide is random. A salt bridge is not observed between the carboxylate group at the C-terminal end and the Arg(1) side chain, in contrast to that previously observed for B-9858 and B- 10148. The conformations are correlated with the measured B(1) receptor antagonist activities (J.-F. Larrivée, L. Gera, S. Houle, J. Bouthillier, D. R. Bachvarov, J. M. Stewart and F. Marc au, Br. J. Pharmacol. 131, 885-892 (2000)). The importance of the N-terminal beta-turn is highlighted.

Bradykinin↗

Secondary structures of proteins adsorbed onto aluminum hydroxide: infrared spectroscopic analysis of proteins from low solution concentrations.

Comparative studies of the secondary structures of six model proteins, adsorbed onto aluminum hydroxide gel (Alhydrogel) or in aqueous solution, were carried out by Fourier transform infrared (FTIR) spectroscopy. The analysis of high-quality spectra of all six model proteins, with a broad range of secondary structure compositions, obtained at 15 mg/ml by the conventional method and at 0.5 and 1.0 mg/ml adsorbed to Alhydrogel revealed that adsorption onto hydrophilic surfaces of aluminum hydroxide particles did not alter the secondary structures of the proteins. The results of this study suggest that adsorbing proteins to Alhydrogel provides a means of obtaining FTIR spectra to study secondary structure and conformational changes of proteins in aqueous solution at very low concentrations. The new procedure effectively lowers the concentration requirement for FTIR studies of proteins in aqueous solutions by at least 40-fold, as compared with the conventional FTIR method. It permits FTIR study of proteins to be carried out in the same concentration range as is used for circular dichroism and fluorescence, thereby making it possible to compare structural information obtained by three commonly used techniques in protein biophysical characterization.

Adsorption↗

Secondary structure of the hepatitis C virus 5' untranslated region and efficacy of interferon therapy for chronic hepatitis C.

UNLABELLED: The hepatitis C virus 5' untranslated region (HCV 5'UTR) contains secondary structures typical of internal ribosome entry site elements leading to translation. Variations of this secondary structure in relation to the efficacy of interferon (IFN) therapy were investigated. METHODS: Natural IFN-alpha was administered to 22 patients with chronic hepatitis C due to HCV subtype 1b and their serum HCV-RNA levels were examined using the reverse-transcription polymerase chain reaction (RT-PCR). The HCV 5'UTR sequence was determined by direct sequencing, and variations of the putative secondary structure were detected by analyzing single-strand confirmation polymorphisms (SSCP) in the patient's sera. RESULTS: Five of the 22 patients (22%) were complete responders to IFN and eradicated HCV-RNA from their sera and 17/22 (78%) were nonresponders in whom HCV-RNA persisted. The SSCP electrophoretic results predicted the efficacy of IFN therapy: the complete responders showed greater pattern diversity than the nonresponders. The serum HCV-RNA level correlated with the SSCP electrophoretic pattern: patients with the IFN-resistant SSCP electrophoretic pattern had higher levels than the others (10.1+/-2.4 vs 1.2+/-0.4 Meq/ml; p<0.001). Sequencing analysis suggested three one-point mutations influence alteration of the secondary structure. CONCLUSIONS: Analysis of the secondary structure of the HCV 5'UTR contributes to predicting viremia severity and the efficacy of IFN therapy in patients with chronic hepatitis C.

5' Untranslated Regions↗

Relationships between secondary structure fractions for globular proteins. Neural network analyses of crystallographic data sets.

The relationship between the fractions of protein secondary structural components as determined from X-ray crystallographic data by the procedures of Kabsch and Sander (KS) and of Levitt and Greer (LG) is analyzed by neural network analysis of these two tabulations of literature data. A linear relationship between the KS and LG reductions of X-ray data to secondary structure descriptors is demonstrated by a regression analysis of the relationships between these sets of structural parameters. Back-propagation neural network analysis was then used to derive equations for determination of the most probable fractions of beta-sheet, bend, turn, and "other" conformations given the fraction of alpha-helix in a globular protein. The deviation of the X-ray values for beta-sheet from that determined with these equations was shown to have a variance that exponentially decreased with increasing fraction of alpha-helix. A second neural network analysis showed that knowledge of both the alpha-helical and beta-sheet fractions in a protein significantly reduces the uncertainty in prediction of the other components of the secondary structure. These analyses provide insight into the nature of the data sets derived from crystal structures. Since these complications of crystal structure data are commonly used as reference information for quantitative evaluation of spectra (for example, FTIR, Raman, and electronic or vibrational circular dichroism) in terms of secondary structure, such internal correlations in the reference sets may have significant effects on the stability of spectroscopic analyses derived from them.

Mathematics↗

Nuclear magnetic resonance study of the solution structure of alpha 1-purothionin. Sequential resonance assignment, secondary structure and low resolution tertiary structure.

The solution structure of the 45-residue plant protein, alpha 1-purothionin, is investigated by nuclear magnetic resonance (n.m.r.) spectroscopy. Using a combination of two-dimensional n.m.r. techniques to demonstrate through-bond and through-space (less than 5 A) connectivities, the 1H n.m.r. spectrum of alpha 1-purothionin is assigned in a sequential manner. The secondary structure elements are then delineated on the basis of a qualitative interpretation of short-range nuclear Overhauser effects (NOE) involving the NH, C alpha H and C beta H protons. There are two helices extending from residues 10 to 19 and 23 to 28, two short beta-strands from residues 3 to 5 and 31 to 34 which form a mini anti-parallel beta-sheet, and five turns. In addition, a number of long-range NOE connectivities are assigned and a low resolution tertiary structure is proposed.

Amino Acid Sequence↗

Studies on secondary structure of caldesmon and its C-terminal fragments.

Evaluation of the secondary structure of caldesmon from c.d. spectra revealed that it contains 51% helix, 9% beta-strand and 40% of remainder structures. These values agree well with the predicted ones from amino acid sequence, assuming an extended chain structure for caldesmon. The estimates of the secondary-structure elements in C-terminal 34 kDa and 19 kDa fragments are: 11 and 12% helix, 22 and 20% beta-strand, 13 and 17% beta-turns and loops, and 54 and 50% of remainder structure respectively. The best fit of experimental data was obtained assuming the globular state of the fragments. On the basis of structural analysis and fragmentation by proteolytic and chemical cleavages the six-domain model of caldesmon is proposed.

Animals↗

The role of geometric complementarity in secondary structure packing: a systematic docking study.

A strong similarity between the major aspects of protein folding and protein recognition is one of the emerging fundamental principles in protein science. A crucial importance of steric complementarity in protein recognition is a well-established fact. The goal of this study was to assess the importance of the steric complementarity in protein folding, namely, in the packing of the secondary structure elements. Although the tight packing of protein structures, in general, is a well-known fact, a systematic study of the role of geometric complementarity in the packing of secondary structure elements has been lacking. To assess the role of the steric complementarity, we used a docking procedure to recreate the crystallographically determined packing of secondary structure elements in known protein structures by using the geometric match only. The docking results revealed a significant percentage of correctly predicted packing configurations. Different types of pairs of secondary structure elements showed different degrees of steric complementarity (from high to low: beta-beta, loop-loop, alpha-alpha, and alpha-beta). Interestingly, the relative contribution of the steric match in different types of pairs was correlated with the number of such pairs in known protein structures. This effect may indicate an evolutionary pressure to select tightly packed elements of secondary structure to maximize the packing of the entire structure. The overall conclusion is that the steric match plays an essential role in the packing of secondary structure elements. The results are important for better understanding of principles of protein structure and may facilitate development of better methods for protein structure prediction.

Binding Sites↗

Predicting the secondary structure of globular proteins using neural network models.

We present a new method for predicting the secondary structure of globular proteins based on non-linear neural network models. Network models learn from existing protein structures how to predict the secondary structure of local sequences of amino acids. The average success rate of our method on a testing set of proteins non-homologous with the corresponding training set was 64.3% on three types of secondary structure (alpha-helix, beta-sheet, and coil), with correlation coefficients of C alpha = 0.41, C beta = 0.31 and Ccoil = 0.41. These quality indices are all higher than those of previous methods. The prediction accuracy for the first 25 residues of the N-terminal sequence was significantly better. We conclude from computational experiments on real and artificial structures that no method based solely on local information in the protein sequence is likely to produce significantly better results for non-homologous proteins. The performance of our method of homologous proteins is much better than for non-homologous proteins, but is not as good as simply assuming that homologous sequences have identical structures.

Amino Acid Sequence↗

Codon usage pattern in alpha 2(I) chain domain of chicken type I collagen and its implications for the secondary structure of the mRNA and the synthesis pauses of the collagen.

A stability map of local secondary structure of the mRNA of the triple-helical alpha 2(I) chain domain of chicken type I collagen was obtained by plotting the free energy of the optimal secondary structure of a local segment in mRNA against the segment position along a base sequence of the mRNA. It was found that the positions of the minima of free energy in the plot coincide with the positions where synthesis pauses of the alpha-chain polypeptides of the corresponding sizes translated from the mRNA have been reported to occur (1). The codon usage pattern of each of the three major amino acids of the alpha-chain domain of the collagen, Gly, Pro and Ala, fluctuates considerably along the base sequence segments of the mRNA and a deviation of the pattern from that of the average of the whole alpha 2(I) chain domain mRNA, particularly for Gly codons, leads to a loss of the stability of the local secondary structure of the mRNA. The results suggest that selection has operated on the codon usage to optimize the secondary structure characteristic of the mRNA of the chicken collagen alpha 2(I) chain domain which leads to a nonuniform polypeptide elongation pattern.

Animals↗

Skewed distribution of protein secondary structure contents over the conformational triangle.

A conformational triangle method is presented to analyze the secondary structure contents of 1028 structurally known proteins in the non-redundant data set of the recent 25% PDB_SELECT. The secondary structure contents of each protein are mapped on to a point in the triangle. It was found that the distribution of the 1028 points is strongly skewed in the triangle and about 42% of the whole area is empty, which is called the forbidden area. The detailed border between the allowable and forbidden areas was calculated. The possible explanation of the skewed distribution is discussed. The distributions of the mapping points for enzymes and non-enzymes in this non-redundant data set are compared. It was found that a necessary rather than a sufficient condition for an enzyme molecule is that its coil content must be >/=0.223. It is hoped that the skewed distribution observed here could be used to test the secondary structure and threading predictions.

Computational Biology↗