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At least 613 records · Page 34Linked to original sources
PubMed1997

The race-specific elicitor AVR9 of the tomato pathogen Cladosporium fulvum: a cystine knot protein. Sequence-specific 1H NMR assignments, secondary structure and global fold of the protein.

The secondary structure and global fold of the AVR9 elicitor protein of Cladosporium fulvum has been determined by 2D NMR and distance-geometry protocols. The protein consists of three anti-parallel strands forming a rigid region of beta-sheet. On the basis of the NMR-derived parameters and distance geometry calculations, it is evident that the AVR9 protein is structurally very homologuous to carboxy peptidase inhibitor (CPI) of which the X-ray structure is known. The AVR9 protein reveals the presence of a cystine knot, which consists of a ring formed by two disulfide bridges and the interconnecting backbone through which the third disulfide bridge penetrates. This structural motif is found in several small proteins such as proteinase inhibitors, ion channel blockers and growth factors. The implications of the structural relationship between AVR9 and other biologically active proteins are discussed.

Amino Acid Sequence↗
PubMed1995

Influence of nucleotides on the secondary structure and on the thermal stability of mitochondrial F1 visualized by infrared spectroscopy.

We have studied the secondary structure of mitochondrial F1 using infrared spectroscopy. Our results show that in the absence of added nucleotides this complex contains similar percentages of alpha-helices, beta-structures and reverse turns (30%, 28% and 31%, respectively). The influence of ADP and ATP on the different types of secondary structure was determined; when all the nucleotide-binding sites were occupied, small but reproducible changes were observed, corresponding to a decrease in beta-structure and an increase in alpha-helix and reverse turns. The effect of nucleotide binding on the thermal stability of F1 was also studied; the thermal denaturation temperature, 55 degrees C, was increased by 11 degrees C and 7 degrees C by ATP and ADP, respectively. These results indicate that nucleotide binding affects the secondary structure of F1, stabilizing the complex.

Adenosine Diphosphate↗
PubMed1989

Influence of the 5'-end region of aldehyde dehydrogenase mRNA on translational efficiency. Potential secondary structure inhibition of translation in vitro.

mRNA coding for rat liver mitochondrial aldehyde dehydrogenase was translated in rabbit reticulocytes 10 times more efficiently than was the corresponding bovine mRNA. Previous data showed that the mRNAs primarily differed in the noncoding 5'-end (K.-L. Guan and H. Weiner, manuscript submitted for publication to Arch. Biochem. Biophys.). Fusion mRNAs were constructed so that the 5'-untranslated region from one was attached to the coding sequence of the other. Furthermore, the mRNAs were mutated at position -3, a position implicated in translational regulation, so that both contained the same residues. Results indicated that the dramatic difference in translational rates between rat and bovine mRNAs was just partly due to the sequence around the initiation codon. Secondary structure prediction of mRNA indicated that stable secondary structure could exist in the 5'-end of bovine mRNA, whereas no such stable structure should exist in rat mRNA. Existence of the predicted secondary structure of bovine mRNA was substantiated by the observation that termination in DNA sequencing in the 5'-end of bovine cDNA occurred. It is concluded that stable secondary structure in the 5'-end region of bovine mitochondrial aldehyde dehydrogenase performs a major role in inhibiting translation. This inhibitory effect is related to the magnitude of free energy required to melt the secondary structure in order to reach the initiation AUG codon.

Aldehyde Dehydrogenase↗
PubMed2006

Conformational analysis of protein secondary structure during spray-drying of antibody/mannitol formulations.

Inhalation of spray-dried particles is a promising delivery route for proteins as an alternative to injection. Changes in the protein structure and aggregation have to be avoided. The effect of mannitol, a stabilizing agent typically used in both liquid and lyophilized protein formulations, on an antibody (IgG1) in a spray-dried powder was studied using different biophysical and chromatographic techniques. At first, different solutions composed of antibody (IgG1) and mannitol at a ratio between 20/80 and 100/0 IgG1/mannitol (100 mg/ml total solid) were investigated for their stability. Protein solutions containing the IgG1 showed mannitol-dependent aggregation. High amounts of mannitol (50-80%) exerted a destabilizing effect on the antibody and the aggregate 9 level increased to 2.6-4.2%. In contrast, solutions with only 20-40% mannitol showed the same amount of aggregates as the pure antibody solution. The antibody mannitol solutions were investigated by circular dichroism (CD) and Fourier transform infrared spectroscopy (FTIR) to evaluate whether changes in the protein secondary structure can be correlated with aggregation. Considering the sensitivity of the used methods and data evaluation, FTIR spectra did not reveal structural changes in the IgG1/mannitol solutions compared to the pure antibody, despite varying aggregate levels. Thermal stress was reflected in perturbations of the secondary structure, but mannitol-dependent aggregation could not be correlated to detectable alterations in the FTIR spectra. Analyzing the CD spectra revealed no distinctive change in the shape of the CD curve, indicating that the protein secondary structure is mainly retained. This is in agreement with the infrared data. Subsequently, the IgG1/mannitol solutions were spray-dried at Tin/Tout of 90/50 degrees C. Using ATR-FTIR for the investigation of the protein amide I band in the spray-dried powder revealed changes in the sub-components of the amide I band. This indicates that the peptide groups (CO and NH) of the protein are found in a different environment in the solid state, compared to the liquid protein formulation. After redissolution of the powders, the native structure of the pure antibody solution was found identical to the protein secondary structure before spray-drying, indicating that the protein secondary structure is not strongly altered in the dry state, and not affected by the spray-drying process. Thus, from the presented study it can be concluded that the formation of antibody aggregates in mannitol formulations cannot be correlated with significant perturbations of the protein secondary structure elements.

Chemistry, Pharmaceutical↗
PubMed1988

Computer program Jamsek combining statistical and stereochemical rules for the prediction of protein secondary structure.

This article briefly describes our program Jamsek written in FORTRAN for an ICL 2950/10 computer. Jamsek combines statistical and stereochemical rules most frequently encountered in literature to predict protein secondary structure from its sequence, into a single algorithm. The composite algorithm does not work better than the best existing single algorithms of Garnier et al. (J. Mol. Biol., 120, 97-120, 1978) or Lim (J. Mol. Biol., 88, 873-894, 1974) if percentage of residues with a correctly predicted secondary structure is taken as a criterion. However, it is fairly reliable in predicting the total amount of alpha-helices and beta-sheets in proteins, the secondary structure of highly ordered proteins or their parts and identification of long alpha-helices. It surpasses the previous algorithms by providing a possibility to make a notion about confidence of the prediction of the particular secondary structure elements thanks to the simultaneous availability of four independent predictions of the secondary structure and other relevant data (hydrophobic profile and helical wheel representation). The main body of this article is devoted to a demonstration that output data of Jamsek can simply be used for the prediction of protein topological class, identification of globular proteins containing hydrophobic alpha-helices and, as an auxiliary means, to distinguish between protein coding and non-coding nucleotide sequences.

Algorithms↗
PubMed1990

Determination of the secondary structure content of proteins in aqueous solutions from their amide I and amide II infrared bands. Comparison between classical and partial least-squares methods.

A method for estimating protein secondary structure from infrared spectra has been developed. The infrared spectra of H2O solutions of 13 proteins of known crystal structure have been recorded and corrected for the spectral contribution of water in the amide I and II region by using the algorithm of Dousseau et al. [Dousseau, F., Therrien, M., & Pézolet, M. (1989) Appl. Spectrosc. 43, 538-542]. This calibration set of proteins has been analyzed by using either a classical least-squares (CLS) method or the partial least-squares (PLS) method. The pure-structure spectra calculated by the classical least-squares method are in good agreement with spectra of poly(L-lysine) in the alpha-helix, beta-sheet, and undefined conformations. The results show that the best agreement between the secondary structure determined by X-ray crystallography and that predicted by infrared spectroscopy is obtained when both the amide I and II bands are used to generate the calibration set, when the PLS method is used, and when it is assumed that the secondary structure of proteins is composed of only four types of structure: ordered and disordered alpha-helices, beta-sheet, and undefined conformation. Attempts to include turns in the secondary structure estimation have led to a loss of accuracy. The standard deviation of the difference between X-ray and infrared secondary structure estimates with this method is 4.8% for the alpha-helix, 3.7% for the beta-sheet, and 5.1% for the undefined structure, whereas the regression coefficients are 0.95, 0.96, and 0.56, respectively. The spectra of the calibration proteins were also recorded in 2H2O solution.(ABSTRACT TRUNCATED AT 250 WORDS)

Amides↗
PubMed2003

Non-intertwined binary patterns of hydrophobic/nonhydrophobic amino acids are considerably better markers of regular secondary structures than nonconstrained patterns.

Patterns of hydrophobic and hydrophilic residues (binary patterns) play an important role in protein architecture and can be roughly categorized into two classes regarding their preferential participation in alpha-helices or beta-strands. However, a single binary pattern can be embedded into different longer patterns carrying opposite structural information and thus cannot be as much informative as expected. Here, we consider conditional binary patterns, or hydrophobic clusters, whose existence is conditioned by the presence of a minimum number of nonhydrophobic residues, called the connectivity distance, that separate two hydrophobic amino acids assumed to belong to two distinct patterns. Conditional binary patterns are distinct from simple ones in that they are not intertwined, i.e., they can not include or be included in other conditional patterns and therefore carry a much more differentiated information, in particular being dramatically better correlated with regular secondary structures (especially beta ones). The distribution of these nonintertwined binary patterns in natural proteins was assessed relative to randomness, evidencing the structural bricks that are favored and disfavored by evolutionary selection. Several connectivity distances as well as several hydrophobic alphabets were tested, evidencing the clear superiority of a connectivity distance of 4, which mimics the minimum current length of loops in globular domains, and of the VILFMYW alphabet, selected from structural data (secondary structure propension and Voronoï tesselation), in highlighting fundamental properties of protein folds.

Amino Acid Sequence↗
PubMed1996

Tubulin secondary structure analysis, limited proteolysis sites, and homology to FtsZ.

The far-ultraviolet circular dichroism spectrum of the alpha beta-tubulin dimer analyzed by six different methods indicates an average content of approximately 33% alpha helix, 21% beta sheet, and 45% other secondary structure. Deconvolution of Fourier transform infrared spectra indicates 24% sheet, 37% (maximum) helix, and 38% (minimum) other structure. Separate alignments of 75 alpha-tubulin, 106 beta-tubulin, and 14 gamma-tubulin sequences and 12 sequences of the bacterial cell division protein FtsZ have been employed to predict their secondary structures with the multiple-sequence method PHD [Rost, B., & Sander, C. (1993a) J. Mol. Biol. 232, 584-599]. The predicted secondary structures average of 33% alpha helix, 24% beta sheet, and 43% loop for the alpha beta dimer. The predictions have been compared with sites of limited proteolysis by 12 proteases at the surfaces of the heterodimer and taxol-induced microtubules [de Pereda, J. M., & Andreu, J. M. (1996) Biochemistry 35, 14184-14202]. From 24 experimentally determined nicking sites, 18 are at predicted loops or at the extremes of secondary structure elements. Proteolysis zone A (including acetylable Lys40 and probably Lys60 in alpha-tubulin and Gly93 in beta-tubulin) and proteolysis zone B (extending between residues 167 and 183 in both chains) are accessible in microtubules. Proteolysis zone C, between residues 278 and 295, becomes partially occluded in microtubules. The alpha-tubulin nicking site Arg339-Ser340 is at a loop following a predicted alpha helix in proteolysis zone D. This site is protected in taxol microtubules; however, a new tryptic site appears which is probably located at the N-terminal end of the same helix. Zone D also contains beta-tubulin Cys354, which is accessible in microtubules. Proteolysis zone E includes the C-terminal hypervariable loops (10-20 residues) of each tubulin chain. These follow the two larger predicted helical zones (residues 372-395 and 405-432 in beta-tubulin), which also are the longer conserved part of the alpha- and beta-tubulin sequences. Through combination of this with other biochemical information, a set of surface and distance constraints is proposed for the folding of beta-tubulin. The FtsZ sequences are only 10-18% identical to the tubulin sequences. However, the predicted secondary structures show two clearly similar (85-87 and 51-78%) regions, at tubulin positions 95-175 and 305-350, corresponding to FtsZ 65-135 and 255-300, respectively. The first region is flanked by tubulin proteolysis zones A and B. It consists of a predicted loop1-helix-loop2-sheet-loop3-helix-loop4-sheet fold, which contains the motif (KR)GXXXXG (loop1), and the tubulin-FtsZ signature G-box motif (SAG)GGTG(SAT)G (loop3). A simple working model envisages loop1 and loop3 together at the nucleotide binding site, while loops 2 and 4 are at the surface of the protein, in agreement with proteolytic and antigenic accessibility results in tubulin. The model is compatible with studies of tubulin and FtsZ mutants. It is proposed that this region constitutes a common structural and evolutionary nucleus of tubulins and FtsZ which is different from typical GTPases.

Amino Acid Sequence↗
PubMed1989

Secondary structure and membrane topology of cytochrome P450s.

The secondary structure prediction of 19 microsomal cytochrome P450s from two different families was made on the basis of their amino acid sequences. It was shown that there is structural similarity between the heme-binding sites in these enzymes and those in the bacterial P450cam. An average predicted secondary structure of cytochrome P450 proteins with 70% accuracy contains about 46% alpha-helices, 12% beta-sheets, 9% beta-turns, and 33% random coils. In the region of residues 35-120 in microsomal P450s two adjacent beta alpha beta-units (the Rossmann domain), were recognized and may be available to interact with the NADPH-cytochrome P450 reductase. Using the procedure for identification of hydrophobic and membrane-associated alpha-helical segments, only one N-terminal transmembrane anchor was predicted. Also the heme-binding site may include the surface-bound helix. A model for vertebrate microsomal P450s having an amphipathic membrane protein located on the cytoplasmic side of the endoplasmic reticulum membrane, with their active center lying outside or on the bilayer border, is proposed.

Algorithms↗
PubMed2000

Functionally significant secondary structure of the simian virus 40 late polyadenylation signal.

The structure of the highly efficient simian virus 40 late polyadenylation signal (LPA signal) is more complex than those of most known mammalian polyadenylation signals. It contains efficiency elements both upstream and downstream of the AAUAAA region, and the downstream region contains three defined elements (two U-rich elements and one G-rich element) instead of the single U- or GU-rich element found in most polyadenylation signals. Since many reports have indicated that the secondary structure in RNA may play a significant role in RNA processing, we have used nuclease structure analysis techniques to determine the secondary structure of the LPA signal. We find that the LPA signal has a functionally significant secondary structure. Much of the region upstream of AAUAAA is sensitive to single-strand-specific nucleases. The region downstream of AAUAAA has both double- and single-stranded characteristics. Both U-rich elements are predominately sensitive to the double-strand-specific nuclease RNase V(1), while the G-rich element is primarily single stranded. The U-rich element closest to AAUAAA contains four distinct RNase V(1)-sensitive regions, which we have designated structural region 1 (SR1), SR2, SR3, and SR4. Linker scanning mutants in the downstream region were analyzed both for structure and for function by in vitro cleavage analyses. These data show that the ability of the downstream region, particularly SR3, to form double-stranded structures correlates with efficient in vitro cleavage. We discuss the possibility that secondary structure downstream of the AAUAAA may be important for the functions of polyadenylation signals in general.

Molecular Sequence Data↗
PubMed1997

Secondary structure of recombinant human cystathionine beta-synthase in aqueous solution: effect of ligand binding and proteolytic truncation.

The secondary structural composition and substrate-induced conformational changes of recombinant human cystathionine beta-synthase (CBS) in aqueous solution have been investigated in its full-length form (tetramer of 63-kDa subunits) by Fourier transform infrared (FT-IR) and circular dichroism (CD) spectroscopies. In addition, structural comparison of a proteolytic truncated form (dimer of 45-kDa subunits) to that of the full-length enzyme has also been carried out. Second-derivative and Fourier self-deconvolutional enhanced infrared spectra revealed amide I band components ascribed to beta-sheet (1689, 1638, and 1627 cm(-1)), alpha-helix (1658 cm(-1)), beta-turn (1679 and 1668 cm(-1)), and unordered (1651 cm(-1)) structures in the spectra of the full-length enzyme. Quantitative analysis of FT-IR and CD spectra reveals that the full-length enzyme consists of about 48-53% beta-sheet, 25-30% alpha-helix, 8-10% turn, and 10-19% unordered structures. Under constraint of the spectroscopic data, theoretical prediction of locations of these secondary structural elements using Garnier's method shows that human CBS may contain a beta-sheet/alpha-helix/beta-sheet core structure. Second-derivative spectrum of the truncated enzyme exhibited all the major spectral features that are present in the full-length enzyme, indicating a preservation of the core structure of the enzyme. Significant differences were observed between the infrared spectra of the enzymes with or without the substrate, serine, indicating a substrate-induced conformational change in the enzyme, which did not result in a change in overall composition of secondary structural content based on quantitative analysis of FT-IR and far-UV CD spectra.

Amino Acid Sequence↗
PubMed2001

Accurate prediction of protein secondary structural content.

An improved multiple linear regression (MLR) method is proposed to predict a protein's secondary structural content based on its primary sequence. The amino acid composition, the autocorrelation function, and the interaction function of side-chain mass derived from the primary sequence are taken into account. The average absolute errors of prediction over 704 unrelated proteins with the jackknife test are 0.088, 0.081, and 0.059 with standard deviations 0.073, 0.066, and 0.055 for alpha-helix, beta-sheet, and coil, respectively. That the sum of predicted secondary structure content should be close to 1.0 was introduced as a criterion to evaluate whether the prediction is acceptable. While only the predictions with the sum of predicted secondary structure content between 0.99 and 1.01 are accepted (about 11% of all proteins), the absolute errors are 0.058 for alpha-helix, 0.054 for beta-sheet, and 0.045 for coil.

Algorithms↗
PubMed1991

An infrared and circular dichroism combined approach to the analysis of protein secondary structure.

Selected regions of infarred (ir) and circular dichroism (CD) spectral data from 10 proteins were combined and analyzed by a factor analysis method. The regions consisted of the area normalized amide I region from 1700 to 1600 cm-1 for the ir spectra and from 178 to 240 nm for the CD spectra. Each CD spectrum was scaled by a factor of 0.5 before appending the data to the ir spectral data. The scaling factor was deemed necessary to account for relative intensity differences between the ir and CD data and provided nearly optimum agreement between secondary structure estimated by the combined approach to secondary structure determined by X-ray crystallography. The ir/CD combined approach to estimation of helix, beta-sheet, beta-turn, and other or undefined secondary structure agreed with X-ray crystallographic determined structure better than estimation using data from either method alone. Correlation coefficients between X-ray and ir/CD combined secondary structure determinations were 0.99 for helix, 0.90 for beta-sheet, 0.70 for beta-turn, and 0.78 for other structure. The four most significant eigenvectors or basis spectra from eigenanalysis of the ir/CD data are presented as well as generalized inverse spectra for four secondary structures.

Circular Dichroism↗
PubMed2000

A holistic approach for protein secondary structure estimation from infrared spectra in H(2)O solutions.

We present an improved technique for estimating protein secondary structure content from amide I and amide III band infrared spectra. This technique combines the superposition of reference spectra of pure secondary structure elements with simultaneous aromatic side chain, water vapor, and solvent background subtraction. Previous attempts to generate structural reference spectra from a basis set of reference protein spectra have had limited success because of inaccuracies arising from sequential background subtractions and spectral normalization, arbitrary spectral band truncation, and attempted resolution of spectroscopically degenerate structure classes. We eliminated these inaccuracies by defining a single mathematical function for protein spectra, permitting all subtractions, normalizations, and amide band deconvolution steps to be performed simultaneously using a single optimization algorithm. This approach circumvents many of the problems associated with the sequential nature of previous methods, especially with regard to removing the subjectivity involved in each processing step. A key element of this technique was the calculation of reference spectra for ordered helix, unordered helix, sheet, turns, and unordered structures from a basis set of spectra of well-characterized proteins. Structural reference spectra were generated in the amide I and amide III bands, both of which have been shown to be sensitive to protein secondary structure content. We accurately account for overlaps between amide and nonamide regions and allow different structure types to have different extinction coefficients. The agreement between our structure estimates, for proteins both inside and outside the basis set, and the corresponding determinations from X-ray crystallography is good.

Animals↗
PubMed1981

Secondary structure comparisons between small subunit ribosomal RNA molecules from six different species.

Secondary structure models are presented for three pairs of small subunit ribosomal RNA molecules. These are the 16S rRNA from E. coli cytoplasmic and Z. mays chloroplast ribosomes, the 18S rRNA from S. cerevisiae and X. laevis cytoplasmic ribosomes, and the 12S rRNA from human and mouse mitochondrial ribosomes. Using the experimentally-established secondary structure of the E. coli 16S rRNA as a basis, the models were derived both by searching for primary structural homology between the three classes of sequence (12S, 16S, 18S), and also by searching for compensating base changes in putative helical regions of each pair of sequences. The models support the concept that secondary structure of ribosomal RNA has been extensively conserved throughout evolution, differences in length between the three classes of sequence being accommodated in distinct regions of the molecules.

Animals↗
PubMed2000

Application of secondary structure prediction in antisense drug design targeting protein kinase C-alpha mRNA and QSAR analysis.

AIM: To optimize the design of antisense drug targeting protein kinase C-alpha (PKC-alpha) mRNA and obtain better antisense drugs than ISIS3521 that is undergoing clinical trials. METHODS: RNAstructure (version 3.21, 1999) was utilized to predict the optimal and suboptimal secondary structures of human PKC alpha mRNA (GenBank, X52479), and 29 antisense phosphorothioate oligodeoxynucleotides (S-ODN) targeting the secondary structural elements, 3 partly matched S-ODN and 1 scrambled 3521 were designed. ISIS3521 was set as positive control. Mean (n = 3-5) 50% inhibitory effects on proliferation of A549 cells (IC50) of S-ODN were evaluated. Free energies (delta G degree 37) relating to the target secondary structural elements were calculated according to the nearest neighbor model. The quantitative structure-activity relationship (QSAR) analysis through multiple regression was obtained by SPSS. RESULTS: Three S-ODN; (5'-AGCCCA-GCCGCTTGGCTGGG-3', 5'-AGGAGTGCAGCTGC-GTCAAG-3', 5'-TCAGAGGG-ACTGATGACTTT-3') had lower IC50[(48 +/- 7), (50 +/- 4), (64 +/- 2.7) nmol.L-1, respectively] than that of ISIS3521 [(81 +/- 25) nmol.L-1]. The number of bases comprising the target secondary structural element bulge loop, internal loop, and knot, the free energy of S-ODN (delta G degree 37S), and reaction (delta G degree 37R) were important parameters in QSAR equation. In the multiple regression, R was 0.68, P = 0.0193. Not tally with the equation, two S-ODN (5'-TCAAATGGAGG-CTGCCCGGC-3', 5'-AAAACGTCAGCCATGGTCCC-3') with favorable target structures and delta G degree 37 did not behave good activities. CONCLUSION: Computer aided design was helpful to obtain S-ODN with better in vitro effect than current positive drug. The degree of instability of secondary structural elements and delta G degree 37 were important factors for drug activity. Other important factors needed for further investigation.

Antineoplastic Agents↗
PubMed1995

Knowledge-based protein secondary structure assignment.

We have developed an automatic algorithm STRIDE for protein secondary structure assignment from atomic coordinates based on the combined use of hydrogen bond energy and statistically derived backbone torsional angle information. Parameters of the pattern recognition procedure were optimized using designations provided by the crystallographers as a standard-of-truth. Comparison to the currently most widely used technique DSSP by Kabsch and Sander (Biopolymers 22:2577-2637, 1983) shows that STRIDE and DSSP assign secondary structural states in 58 and 31% of 226 protein chains in our data sample, respectively, in greater agreement with the specific residue-by-residue definitions provided by the discoverers of the structures while in 11% of the chains, the assignments are the same. STRIDE delineates every 11th helix and every 32nd strand more in accord with published assignments.

Algorithms↗
PubMed1995

Effect of diabetic duration on the secondary structures of the human lens capsules in diabetic cataracts.

The decrease in triple helix content from 16% to 9% and in beta-turn content from 45% to 33%, combined with markedly increased random coil structure (16%) can be found in the secondary structure contents of lens capsule of the premature cataractous patients with longer diabetic history. However, almost the same peak position and secondary structure content are observed in the curve-fitted IR amide I band of lens capsules of both non-diabetic controls and premature cataractous patients with shorter diabetic history, even if the cataracts are senile. The present study emphasizes the duration of diabetes as a major cause to alter the secondary conformation of the cataractous human lens capsules in diabetic patients.

Adult↗