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At least 631 records · Page 35Linked to original sources
PubMed2002

Effect of gene location, mRNA secondary structures, and RNase sites on expression of two genes in an engineered operon.

The effects of endoribonuclease sites, secondary structures in mRNA, and gene placement on protein production and mRNA stability and steady-state levels were tested in a dual-gene operon containing the genes encoding beta-galactosidase (lacZ) from Escherichia coli and green fluorescent protein (gfp) from Aequorea victoria. Two previously identified RNase E sites were placed separately between the coding regions to direct cleavage in this area and produce two secondary transcripts, each containing a single-gene coding region. Novel secondary structures were engineered into the 3' and 5' ends of each of the coding regions to protect the transcript from inactivation by endoribonucleases (5' hairpins) and degradation by exoribonucleases (3' hairpins). In addition, the effects of relative gene placement were examined by switching the locations of the two coding regions. Depending on the particular secondary structures and RNase E sites placed between the genes the relative steady-state transcript and protein levels encoded by the two reporter genes could be changed up to 2.5-fold and 4-fold, respectively. By changing gene location and incorporating secondary structures and RNase E sites the relative steady-state transcript and protein levels encoded by the two reporter genes could be changed up to 100-fold and 750-fold, respectively.

Arabinose↗
PubMed1991

Statistical analyses of the vibrational circular dichroism of selected proteins and relationship to secondary structures.

The vibrational circular dichroism (VCD) spectra of 20 proteins dissolved in D2O are presented in the amide I' region. These data are decomposed into a linear combination of orthogonal subspectra generated by the principal component method of factor analysis, and the results for 13 of them are compared to their secondary structures as determined from X-ray crystallography. Factor analysis of the VCD yields six statistically significant subspectra that can be used to reproduce the spectra. Their coefficients can then be used to characterize a given protein. Comparison of cluster analyses of these VCD coefficients and of the secondary structure fractional coefficients from X-ray crystallography showed that proteins clustered in the VCD analysis were also clustered in the X-ray analysis. The relative fractions of alpha-helix and beta-sheet in the protein dominate the clustering in both data sets. Qualitative characterization of the secondary structure of a given protein is obtained from its clustering on the basis of spectral characteristics. A strong linear correlation was found between the coefficient of the second subspectrum and the alpha-helical fraction for the proteins studied. The second coefficient also correlated to the beta-sheet fraction, and the first coefficient weakly correlated to the fraction for "other". Subsequent multiple-parameter regression analyses of the VCD factor analysis coefficients, constrained to include only significant dependencies, yielded reliable determination of the alpha-helix fraction and somewhat less confident determination of beta-sheet, bend, and "other" components. Predictive capability for proteins not in the regression was good. Varimax rotation of the coefficients transformed the subspectra and gave simple correlations to secondary structure components but had less reliability and more restrictions than the multiple regression on the original coefficients. The partial least-squares analysis method was also used to predict fractional secondary structures for the training set proteins but resulted in somewhat higher average error, particularly for beta-sheet, than the multiple regression. The turn fraction was effectively undetermined in both the regression and partial least-squares analyses. These statistical analyses represent the first determination of a quantitative relationship between VCD spectra and secondary structure in proteins.

Circular Dichroism↗
PubMed2003

RNAsoft: A suite of RNA secondary structure prediction and design software tools.

DNA and RNA strands are employed in novel ways in the construction of nanostructures, as molecular tags in libraries of polymers and in therapeutics. New software tools for prediction and design of molecular structure will be needed in these applications. The RNAsoft suite of programs provides tools for predicting the secondary structure of a pair of DNA or RNA molecules, testing that combinatorial tag sets of DNA and RNA molecules have no unwanted secondary structure and designing RNA strands that fold to a given input secondary structure. The tools are based on standard thermodynamic models of RNA secondary structure formation. RNAsoft can be found online at http://www.RNAsoft.ca.

Base Sequence↗
PubMed2000

Predicted changes in pre-mRNA secondary structure vary in their association with exon skipping for mutations in exons 2, 4, and 8 of the Hprt gene and exon 51 of the fibrillin gene.

Exon skipping that accompanies exonic mutation might be caused by an effect of the mutation on pre-mRNA secondary structure. Previous attempts to associate predicted secondary structure of pre-mRNA with exon skipping have been hindered by either a small number of available mutations, sub-optimal structures, or weak effects on exon skipping. This report identifies more extensive sets of mutations from the human and hamster Hprt gene whose association with exon skipping is clear. Optimal secondary structures of the wild-type and mutant pre-mRNA surrounding each exon were predicted by energy minimization and were compared by energy dot plots. A significant association was found between the occurrence of exon skipping and the disruption of a stem containing the acceptor site consensus sequences of exon 8 of the human Hprt gene. However, no change in secondary structure was associated with skipping of exon 4 of the hamster Hprt gene. Using updated energy parameters we found a different structure than that previously reported for exon 2 of the hamster Hprt gene. In contrast to the previously reported structure, no significant association was found between predicted structural changes and skipping of exon 2. For all three Hprt exons studied, there was a significantly greater number of deoxythymidine substitutions among mutations accompanied by exon skipping than among mutations without exon skipping. For exon 8, deoxythymidine substitution was also associated with structural changes in the stem containing the acceptor site consensus sequences. For exon 51 of the human fibrillin gene, structural differences from wild type were predicted for all four mutations accompanied by exon skipping that were not were predicted for a single mutation without exon skipping. Our results suggest that both primary and secondary pre-mRNA structure contribute to definition of Hprt exons, which may involve exonic splicing enhancers.

Animals↗
PubMed1995

Protein folding intermediates with rapidly exchangeable amide protons contain authentic hydrogen-bonded secondary structures.

Recent studies on protein folding intermediates by pulsed amide proton exchange and by far-ultraviolet circular dichroism have shown important discrepancies between the secondary structure contents estimated by these two methods at early folding stages. To solve these apparent discrepancies, structural studies have been performed on the isolated, 101 residue long, C-terminal proteolytic domain (F2) of the Escherichia coli tryptophan synthase beta chain, which had previously been reported to behave as an early folding intermediate [Chaffotte, A. F., Cadieux, C., Guillou, Y., & Goldberg, M. E. (1992) Biochemistry 31, 4303-4308]. The secondary structure of F2 has been investigated by far-UV circular dichroism (CD), Fourier transform infrared (FTIR) spectroscopy, and NMR. The CD and FTIR spectra clearly indicate that isolated F2 has about 30-45% of its residues involved in secondary structures stabilized by conventional hydrogen bonds. The characteristics of the NMR spectrum (line broadening, absence of structure-induced chemical shifts, absence of nuclear Overhauser effects in the amide region, few dipolar interactions between the side-chain protons) suggest that isolated F2 is oscillating between several conformations in rapid equilibrium. The rate of amide proton exchange has been studied by one-dimensional NMR, which indicates a significant extent of proton protection, with, however, protection factors that can be estimated to be at most 60 and more probably closer to 10. Thus, F2 appears to exist as a molten globule that exhibits very low amide proton protection and yet contains a large fraction of its residues involved in authentic secondary structures stabilized by hydrogen bonds. Such a state is likely to correspond to the earliest structured folding intermediates thus far characterized.

Amides↗
PubMed1995

Circular dichroism and Fourier transform infrared spectroscopic studies on the secondary structure of Saccharomyces cerevisiae and Escherichia coli phospho enolpyruvate carboxykinases.

The secondary structure of Saccharomyces cerevisiae and Escherichia coli phospho enolpyruvate (PEP) carboxykinases was quantitatively examined using circular dichroism (CD) and Fourier transform infrared (FTIR) spectroscopies. From CD analyses, values of 24% alpha-helix and 38% beta-sheet were obtained for the E. coli enzyme, while the corresponding values for the S. cerevisiae PEP carboxykinase were 20% and 36%. Analysis of the amide I' infrared band indicated 20% alpha-helix and 36% beta-sheet for the S. cerevisiae enzyme, while for the E. coli protein values of 40% beta-sheet and between 9 and 36% alpha-helix could be inferred. It is concluded that the bacterial enzyme has more secondary structure elements than the yeast protein. No alteration of the CD or FTIR spectra was detected upon substrate or metal ion binding to any enzyme.

Circular Dichroism↗
PubMed2003

Local similarity in RNA secondary structures.

We present a systematic treatment of alignment distance and local similarity algorithms on trees and forests. We build upon the tree alignment algorithm for ordered trees given by Jiang et. al (1995) and extend it to calculate local forest alignments, which is essential for finding local similar regions in RNA secondary structures. The time complexity of our algorithm is O(|F(1)| |F(2) deg(F(1)) deg(F(2)) (deg(F(1)) + deg(F(2))) where |F(i)| is the number of nodes in forest F(i) and deg (F(i)) is the degree of F(i). We provide carefully engineered dynamic programming implementations using dense, two-dimensional tables which considerably reduces the space requirement. We suggest a new representation of RNA secondary structures as forests that allow reasonable scoring of edit operations on RNA secondary structures. The comparison of RNA secondary structures is facilitated by a new visualization technique for RNA secondary structure alignments. Finally, we show how potential regulatory motifs can be discovered solely by their structural preservation, and independent of their sequence conservation and position.

Algorithms↗
PubMedDate not supplied

[A method of calculating the discrete secondary structures of globular proteins].

The model of formation of alpha-helices and beta-structures determined by joint action of the three elements: N-terminal, internal and C-terminal fragments are presented. Algorithm for calculation of their localization in a given amino acid sequence was constructed on the base of this model. The preference of the fragments of the amino acid sequence to a definite type of the secondary structure was estimated on the base of corresponding average values of linear discriminant functions dsk (s = alpha, beta, k = N, in, C). The latter were constructed in the previous paper on the base of the revealed significant characteristics. These integral characteristics are used for calculating the localisation of discrete secondary structures. The total prediction for 3 states (alpha, beta, c) given 71% correctly predicted residues (for 4 states alpha, beta, c, t) 62% for the training set, consisting of 72 proteins. For the control set (15 proteins) the accuracy of prediction is about 65%. The essential advantages of this method are: 1) the possibility to localize the discrete secondary structures; 2) the high accuracy of prediction of long secondary structures (for alpha-helices approximately 90%, for beta-structures approximately 80%), which is important for the determination of the protein folding. The influence of mutation on the secondary structure of proteins was investigated. The anormally high stability of the secondary structures of immunoglobulins to mutations was revealed. This probably results from the selection during evolution of such variants of amino acid sequences, which are able to provide the functional variability of antigenic determinants, but keep invariant the tertially structure of protein.

Amino Acid Sequence↗
PubMed1999

Secondary structures and structural fluctuation in a dimeric protein, Streptomyces subtilisin inhibitor.

Based on the nuclear magnetic resonance assignments of a dimeric protein, Streptomyces subtilisin inhibitor (SSI), microscopic details of secondary structures in solution have been elucidated. The chemical shift index of C(alpha) signals, together with information on the hydrogen exchange rates of the backbone amide protons, were used to identify secondary structures. The locations of these secondary structures were found to be different in some critical points from those determined earlier by X-ray crystallography of the crystal. Notably, the beta3 strand is completely missing and the alpha2 helix is extended toward the C-terminus. Furthermore, hydrogen exchange experiments of individual peptide NH protons under strongly folding conditions revealed mechanisms of global and local structural fluctuation within the dimeric structure. It has been suggested that the global fluctuation of the monomeric unit occurs without affecting the accompanying monomer, in contrast to the equilibrium thermal unfolding, which is cooperative. Higher protection against hydrogen exchange for residues in part of the beta4 strand implies that this region might serve as a folding core.

Amino Acid Sequence↗
PubMed2005

DNA-induced secondary structure of the carboxyl-terminal domain of histone H1.

We have studied the secondary structure of the carboxyl-terminal domains of linker histone H1 subtypes H1(0) (C-H1(0)) and H1t (C-H1t), free in solution and bound to DNA, by IR spectroscopy. The carboxyl-terminal domain has little structure in aqueous solution but becomes extensively folded upon interaction with DNA. The secondary structure elements present in the bound carboxyl-terminal domain include the alpha-helix, beta-structure, turns, and open loops. The structure of the bound domain shows a significant dependence on salt concentration. In low salt (10 mm NaCl), there is a residual amount of random coil, 7% in C-H1(0) and 12% in C-H1t. In physiological salt concentrations (140 mm NaCl), the carboxyl termini become fully structured. Under these conditions, C-H1(0) contained 24% alpha-helix, 25% beta-structure, 17% open loops, and 33% turns. The latter component could include a substantial proportion of the 3(10) helix. Despite their low sequence identity (approximately 30%), the representation of the different structural motifs in C-H1t was similar to that in C-H1(0). Examination of the changes in the amide I components in the 20-80 degrees C temperature interval showed that the secondary structure of the DNA-bound C-H1t is for the most part extremely stable. The H1 carboxyl-terminal domain appears to belong to the so-called disordered proteins, undergoing coupled binding and folding.

Amino Acid Motifs↗
PubMed1995

RNA secondary structure prediction using highly parallel computers.

An RNA secondary structure prediction method using a highly parallel computer is reported. We focus on finding thermodynamically stable structures of a single-stranded RNA molecule. Our approach is based on a parallel combinatorial method which calculates the free energy of a molecule as the sum of the free energies of all the physically possible hydrogen bonds. Our parallel algorithm finds many highly stable structures all at once, while most of the conventional prediction methods find only the most stable structure. The important idea in our algorithm is search tree pruning, with dynamic load balancing across the processor elements in a parallel computer. Software tools for visualization and classification of secondary structures are also presented using the sequence of cadang-cadang coconut viroid as an example. Our software system runs on CM-5.

Algorithms↗
PubMed2005

ATR-FT/IR study on the interactions between gliadins and dextrin and their effects on protein secondary structure.

The effects of heat treatment and dextrin addition on the secondary structure of gliadins were investigated by means of attenuated total reflection Fourier transform infrared spectroscopy (ATR-FT/IR). Gliadins and gliadin/dextrin mixtures (before and after thermal treatment) were prepared as a dried protein film on the ATR-FT/IR zinc selenide cell plate and equilibrated at a water activity (a(w)) of 0.06. The results show that gliadins undergo conformational changes upon thermal treatment both in the absence and in the presence of dextrin. In particular, in the thermally treated gliadins, the decrease of the band at around 1651 cm(-)(1) and the increase of the bands at around 1628 and 1690 cm(-)(1) suggest a loss of alpha-helix structure and a higher content of protein aggregates. The same trend was observed in the presence of dextrin. Concerning the interactions between gliadins and dextrin, gliadin/dextrin mixtures show variations in the amide I region compared to native gliadins (e.g., an increase of the band at 1645 cm(-)(1) and the absence of the band at around 1668 cm(-)(1)) that might be due to hydrogen bond formation between gliadins and dextrin. It was also found that the spectrum of gliadin/dextrin mixtures was less affected by the hydration state than that of native gliadins, as observed from the differential spectra obtained by subtraction of the spectrum obtained at a(w) = 0.06 (driest condition tested) from the spectrum of the sample equilibrated at a(w) = 0.84. This could be due to the fact that C=O and N-H groups of gliadins are engaged to form hydrogen bonds with the hydroxyl groups of dextrin, and so they are not perturbed by the presence of water molecules. Finally, water activity effects on the secondary structure of gliadins are also discussed.

Dextrins↗
PubMed1987

Secondary structure at the bacteriophage G4 origin of complementary-strand DNA synthesis: in vivo requirements.

The bacteriophage G4 origin of complementary strand DNA synthesis, G4 ori, contains several regions of potential secondary structure. In this study, we ask whether DNA secondary structure is important for G4 ori function in vivo. Point mutations were generated within a region of potential secondary structure so as to disrupt intrastrand base pairing. These mutations led to a strong temperature-dependent reduction in ori function in vivo. A double point mutation which introduces the same base substitutions without destabilizing intrastrand base pairing did not cause a temperature-dependent disruption in ori function. The double mutant did display a slight temperature-independent reduction in ori function compared to the wild-type G4 ori. Based on these findings, we conclude that DNA secondary structure, as well as recognition of specific sequences, is required for G4 ori activity in vivo.

Coliphages↗
PubMed1998

Role of main-chain electrostatics, hydrophobic effect and side-chain conformational entropy in determining the secondary structure of proteins.

The physiochemical bases of amino acid preferences for alpha-helical, beta-strand, and other main-chain conformational states in proteins is controversial. Hydrophobic effect, side-chain conformational entropy, steric factors, and main-chain electrostatic interactions have all been advanced as the dominant physical factors which determine these preferences. Many attempts to resolve the controversy have focused on small model systems. The disadvantage of such systems is that the amino acids in small molecules are largely exposed to the solvent. In proteins, however, the amino acids are in contact with the solvent to a different degree, causing a large variability of strengths of all interactions. The estimates of mean strengths of interactions in the actual protein environment are therefore essential to resolve the controversy. In this work the experimental protein structures are used to estimate the mean strengths of various interactions in proteins. The free energy contributions of the interactions are implemented into the Lifson-Roig theory to calculate the helix and strand free energy profiles. From the profiles the secondary structures of proteins and peptides are predicted using simple rules. The role of hydrophobic effect, side-chain conformational entropy, and main-chain electrostatic interactions in determining the secondary structure of proteins is assessed from the abilities of different models, describing stability of secondary structures, to correctly predict alpha-helices, beta-strands and coil in 130 proteins. The three-state accuracy of the model, which contains only the free energy terms due to the main-chain electrostatics with 40 coefficients, is 68.7%. This accuracy is approaching to the accuracy of currently the best secondary structure prediction algorithm based on neural networks (72%); however, many thousands of parameters have to be optimized during the training of the neural networks to reach this level of accuracy. The correlation coefficient between the calculated and the experimental helix contents of 37 alanine based peptides is 0.91. If the hydrophobic and the side-chain conformational entropy terms are included into the helix-coil transition parameters, the accuracy of the algorithm does not improve significantly. However, if the main-chain electrostatic interactions are excluded from the helix-coil and strand-coil transition parameters, the accuracy of the algorithm reaches only 59.5%. These results support the dominant role of the short-range main-chain electrostatics in determining the secondary structure of proteins and peptides. The role of the hydrophobic effect and the side-chain conformational entropy is small.

Agglutinins↗
PubMed2003

Effects of water activity and lipid addition on secondary structure of zein in powder systems.

The effects of water activity (A(w)) and lipid addition on the secondary structure of powdery zein were investigated using Fourier transform infrared spectroscopy. Two fatty acid esters, i.e., the linolenic and eicosapentaenoic acid ethyl esters (LAE and EPE), were mixed with the zein powder. The powders were stored in the "dry" state (with silica gel) and the "humid" state (A(w) = 0.9). The powdery zein without the lipids was shown to have a high content of the intermolecular hydrogen-bonded beta-sheet in the "dry" state, indicating the presence of protein aggregates. An increase in A(w) induced a decrease in this beta-sheet, concomitant with increases in the alpha-helix and beta-turn structures. The addition of LAE caused decreases in the alpha-helix and intermolecular hydrogen-bonded beta-sheet of zein when the powder was stored in the "humid" state, suggesting the strong interaction of LAE and zein molecules. However, LAE did not affect the secondary structure of zein in the "dry" state. The addition of EPE hardly influenced the secondary structure of zein, irrespective of A(w). These results are discussed in relation to the antioxidative activity of zein in the powder system, which had studied previously.

Eicosapentaenoic Acid↗
PubMed1999

Inhibition of FEN-1 processing by DNA secondary structure at trinucleotide repeats.

The mechanism by which trinucleotide expansion occurs in human genes is not understood. However, it has been hypothesized that DNA secondary structure may actively participate by preventing FEN-1 cleavage of displaced Okazaki fragments. We show here that secondary structure can, indeed, play a role in expansion by a FEN-1-dependent mechanism. Secondary structure inhibits flap processing at CAG, CGG, or CTG repeats in a length-dependent manner by concealing the 5' end of the flap that is necessary for both binding and cleavage by FEN-1. Thus, secondary structure can defeat the protective function of FEN-1, leading to site-specific expansions. However, when FEN-1 is absent from the cell, alternative pathways to simple inhibition of flap processing contribute to expansion.

DNA↗
PubMed1982

Secondary structure prediction of sauvagine, a novel biologically active polypeptide from a frog.

The secondary structure of sauvagine has been predicted by the statistical method of Chou & Fasman. The results are compared with those obtained by the analysis of the secondary structure of the corticotropin releasing factor. The pattern of helices and beta-turns within these polypeptides is similar. Thus there is an evolutionary relationship in both sequence and secondary structure between these polypeptides, in accordance with their pharmacological properties.

Amino Acid Sequence↗
PubMed2004

Secondary structure and stability of the selenocysteine insertion sequences (SECIS) for human thioredoxin reductase and glutathione peroxidase.

We have used high resolution NMR and thermodynamics to characterize the secondary structure and stability of the selenocysteine insertion sequences (SECIS) of human glutathione peroxidase (58 nt) and thioredoxin reductase (51 nt). These sequences are members of the two classes of SECIS recently identified with two distinct structures capable of directing selenocysteine incorporation into proteins in eukaryotes. UV melting experiments showed a single cooperative and reversible transition for each RNA, which indicates the presence of stable secondary structures. Despite their large size, the RNAs gave well resolved NMR spectra for the exchangeable protons. Using NOESY, the imino protons as well as the cytosine amino protons of all of the Watson-Crick base pairs were assigned. In addition, a number of non-canonical base pairs including the wobble G.U pairs were identified. The interbase-pair NOEs allowed definition of the hydrogen-bonded structure of the oligonucleotides, providing an experimental model of the secondary structure of these elements. The derived secondary structures are consistent with several features of the predicted models, but with some important differences, especially regarding the conserved sequence motifs.

Base Sequence↗