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At least 19 recordsLinked to original sources
PubMed1997

A new approach to secondary structure evaluation: secondary structure prediction of porcine adenylate kinase and yeast guanylate kinase by CD spectroscopy of overlapping synthetic peptide segments.

A new approach for evaluating the secondary structure of proteins by CD spectroscopy of overlapping peptide segments is applied to porcine adenylate kinase (AK1) and yeast guanylate kinase (GK3). One hundred seventy-six peptide segments of a length of 15 residues, overlapping by 13 residues and covering the complete sequences of AK1 and GK3, were synthesized in order to evaluate their secondary structure composition by CD spectroscopy. The peptides were prepared by solid phase multiple peptide synthesis method using the 9-fluorenylmethoxycarbonyl/tert-butyl strategy. The individual peptide secondary structures were studied with CD spectroscopy in a mixture of 30% trifluoroethanol in phosphate buffer (pH 7) and subsequently compared with x-ray data of AK1 and GK3. Peptide segments that cover alpha-helical regions of the AK1 or GK3 sequence mainly showed CD spectra with increasing and decreasing Cotton effects that were typical for appearing and disappearing alpha-helical structures. For segments with dominating beta-sheet conformation, however, the application of this method is limited due to the stability and clustering of beta-sheet segments in solution and due to the difficult interpretation of random-coiled superimposed beta-sheet CD signals. Nevertheless, the results of this method especially for alpha-helical segments are very impressive. All alpha-helical and 71% of the beta-sheet containing regions of the AK1 and GK3 could be identified. Moreover, it was shown that CD spectra of consecutive peptide content reveal the appearance and disappearance of alpha-helical secondary structure elements and help localizing them on the sequence string.

Adenylate Kinase↗
PubMed1996

A graph-topological approach to recognition of pattern and similarity in RNA secondary structures.

Secondary and tertiary RNA structures play an important role in many biological processes. Therefore the necessity arises to find similar higher-order structures for different but functionally homologous RNA sequences. We propose here a graph-topological approach to the problem, which shows two main features: simplified graph representation which allows the recognition of similarity of RNA secondary structures with the same branching look despite minor differences. This allows comparison among foldings from different sequences, and "pruning" of the secondary structures not shared by all the sequences since the early stages of the search. (b) The graph representation is encoded by the Randić topological index, and the search for the folding similarity is reduced to checking the identity of single numbers. These characteristics make this approach significantly different, less depending on empirical criteria, and less computationally heavy then previous methods, where the folding consensus has been measured by an alignment procedure or correlation of strings representing the secondary structures. Some U2 snRNA and viroid sequences are studied by this approach, which is imbedded in our previous search method based on genetic algorithms.

Algorithms↗
PubMed2000

Constraint-based assembly of tertiary protein structures from secondary structure elements.

A challenge in computational protein folding is to assemble secondary structure elements-helices and strands-into well-packed tertiary structures. Particularly difficult is the formation of beta-sheets from strands, because they involve large conformational searches at the same time as precise packing and hydrogen bonding. Here we describe a method, called Geocore-2, that (1) grows chains one monomer or secondary structure at a time, then (2) disconnects the loops and performs a fast rigid-body docking step to achieve canonical packings, then (3) in the case of intrasheet strand packing, adjusts the side-chain rotamers; and finally (4) reattaches loops. Computational efficiency is enhanced by using a branch-and-bound search in which pruning rules aim to achieve a hydrophobic core and satisfactory hydrogen bonding patterns. We show that the pruning rules reduce computational time by 10(3)- to 10(5)-fold, and that this strategy is computationally practical at least for molecules up to about 100 amino acids long.

Algorithms↗
PubMed1991

An extension of secondary structure prediction towards the prediction of tertiary structure.

Secondary structure prediction parameters and optimised decision constants for use with the method of Garnier et al. [(1978) J. Mol. Biol. 120, 97-120] have been derived for two new and distinct substates of beta-structure. These we term internal and external on the basis of their hydrogen bonding patterns. The profiles of the amino acids for several of the parameters are considerably different in the two substates. Predictions using the new parameters attempt to distinguish the strands at the core of the beta-sheet from those at its edges and so restrict the possible topologies in tertiary structure prediction. The potential application of these parameters is illustrated for the class of beta/alpha proteins.

Adenylate Kinase↗
PubMed1988

Fructose-1,6-bisphosphate aldolase from Drosophila melanogaster: primary structure analysis, secondary structure prediction, and comparison with vertebrate aldolases.

The amino acid sequence of fructose-1,6-bisphosphate aldolase from Drosophila melanogaster was determined and was compared with those of five vertebrate aldolases on record. The four identical polypeptide chains of the insect enzyme, acetylated at the N-terminus and three residues shorter than the vertebrate chains, contain 360 amino acid residues. Of these 190 (or 53%) are identical in all six enzymes and in addition 33 positions (or 9%) are occupied by homologous residues. Comparison with the muscle-type isoaldolases from man and rabbit and the liver-type isoaldolases from man, rat, and chicken indicates an average sequence identity of 70 and 63%, respectively. Thus, the insect and the vertebrate muscle aldolases are probably coded by orthologous genes. On this basis an average rate of evolution of 3.0 PAM per 10(8) years is calculated, documenting an evolutional divergence slower than that of cytochrome c (4.2 PAM/10(8) years). The rate is also lower than that of the liver isoform (3.6 PAM/10(8) years). Secondary structure prediction analysis for Drosophila aldolase suggests the occurrence of 11-12 helical segments and 8-9 beta-strands. The conspicuous alternation of these structures in all six aldolases, especially in the C-terminal 200 residues, is consistant with the formation of an alpha beta-barrel supersecondary structure as documented for several other glycolytic enzymes.

Amino Acid Sequence↗
PubMed1996

1H NMR investigation of the secondary structure, tertiary contacts and cluster environment of the four-iron ferredoxin from the hyperthermophilic archaeon Thermococcus litoralis.

The solution molecular structure of the four-iron ferredoxin (Fd) from the hyperthermophilic archaeon Thermococcus litoralis (Tl) has been investigated by 1H NMR spectroscopy. TOCSY and NOESY experiments in H2O, tailored to detect both weakly and strongly relaxed resonances, together with steady-state NOEs in both H2O and D2O, allowed the identification of 58 of the 59 residues, with one residue near the paramagnetic center undetected. It is shown that the contact shifted and strongly relaxed signals for all four cysteines ligated to the paramagnetic cluster can be assigned by standard backbone connectivities that do not require any assumptions about the tertiary structure. Secondary structural elements identified in Tl Fd are a three-stranded antiparallel beta-strand involving the termini of the protein, a double beta-strand (also antiparallel), two alpha-helices and four turns. The existence of a disulfide bridge between the nonligated cysteines is also proposed. Dipolar contacts observed in the NOESY maps and by steady-state NOEs between the ligated cysteines and the 'diamagnetic' protein matrix indicate that the overall folding pattern of Tl Fd is very similar to that of the 3Fe ferredoxin from the mesophilic bacterium Desulfovibrio gigas [Kissinger et al. (1991) J. Mol. Biol., 219, 693-723]. The influence of the paramagnetism of the cluster on the relaxation properties of the proton signals of nonligated residues near the cluster, as well as on the ligated cysteines, correlates well with the proximity to the cluster iron(s), as predicted from the crystal structures for homologous protons of other single-cluster ferredoxins. Finally, the potential role of the various identified structural factors in contributing to the hyperthermostability of this protein is discussed.

Amino Acid Sequence↗
PubMed1995

The leucyl/phenylalanyl-tRNA-protein transferase. Overexpression and characterization of substrate recognition, domain structure, and secondary structure.

Previous work has shown that, in the bacterium Escherichia coli, the aat gene is essential for the degradation of proteins bearing amino-terminal Arg and Lys residues via the N-end rule pathway of protein degradation. We now show that the aat gene encodes directly the leucyl/phenylalanyl-tRNA-protein transferase (L/F-transferase). This enzyme catalyzes the transfer of Leu, Phe, and, less efficiently, Met and Trp, from aminoacyl-tRNAs, to the amino terminus of acceptor proteins. We have used the cloned aat gene to overexpress and purify an affinity tagged L/F-transferase. The recombinant L/F-transferase is as active as the previously purified wild type enzyme and contains no detectable RNA component. We have used the recombinant enzyme to demonstrate that both the solubility and substrate specificity, for aminoacyl-tRNA substrates, of the L/F-transferase are dependent on ionic strength conditions and that the modified nucleotides found in natural tRNAs are not essential for recognition by the enzyme. Limited digestion of the L/F-transferase with trypsin removes the proline rich NH2 terminus of the enzyme identifying a globular core, and circular dichroism demonstrates that the L/F-transferase is predominantly alpha-helical. Finally, a region of sequence conservation between the L/F-transferase and the NH2-terminal protein acetylases has been identified.

Acyltransferases↗
PubMed1991

Modeling RNA secondary structures. I. Mathematical structural model for predicting RNA secondary structures.

A mathematical model for analyzing the secondary structures of RNA is developed that is based on the connection matrix associated with the planar p-h graph. The classification of the elementary structures allows the introduction of the basis of structural space from which to build the global secondary structure. All admissible solutions belong to the configuration space and can be obtained directly from its basis.

Algorithms↗
PubMed1986

Secondary structure of poliovirus RNA: correlation of computer-predicted with electron microscopically observed structure.

A secondary structure map of poliovirus 1, strain Mahoney, RNA was determined by psoralen crosslinking the (+) strand and visualizing the structures in the electron microscope. Hairpins and looped hairpins were observed, and the size and distribution were measured. To orient map features the 3' end of the RNA was linked to polybromodeoxyuridine [poly(BUdR)]SV40 and histograms were constructed from these measurements. Secondary structure maps of the RNA were likewise constructed from the results of computer prediction programs for secondary structure. The programs used were those of M. Zuker (RNA2 and FOLD) which calculate a minimal global energy for a given sequence. Many single hairpins predicted by both RNA2 and FOLD showed a correlation with the histograms of hairpin structures of RNA crosslinked with psoralen. A secondary structure map was also constructed for the entire 7433 bases using the option in FOLD which allows multi-branch loops by folding uniformly stepped overlapping segments. Any structure that occurred at or greater than a given frequency was selected and mapped with respect to genome position. A correlation in structured regions was seen between psoralen-derived and computer-predicted maps of secondary structure. Furthermore, a region of large loops from base position 681 to 3899 was noted that corresponded to frequently observed large loop(s) in electron micrographs of psoralen preparations of RNA. Agreement between the two methods of determining secondary structure strengthens the credibility of the computer-aided methods used for predicting secondary structure and allows us to suggest an overall secondary structure map for poliovirus RNA.

Computers↗
PubMed1995

Prediction of protein secondary structures from their hydrophobic characteristics.

Deciphering the native conformation of proteins from their amino acid sequences is one of the greatest challenges in the field of molecular biology. The successful prediction of structural class may help to improve the accuracy levels of structure (secondary and tertiary) predictive schemes in globular proteins. In our earlier works we developed a new surrounding hydrophobicity scale for the 20 amino acid residues applicable for both globular and membrane proteins and used it successfully to predict the transmembrane helical and strand segments in membrane proteins. In this article we propose (i) rules to predict the structural class of proteins and (ii) a new predictive scheme for forecasting secondary structures of globular proteins, with the use of the new hydrophobicity scale. This scheme predicts the structural class and secondary structures of globular proteins to 92 and 82% levels of accuracy, respectively, far better than the levels from other existing methods.

Algorithms↗
PubMed1994

Redefining the goals of protein secondary structure prediction.

Secondary structure prediction recently has surpassed the 70% level of average accuracy, evaluated on the single residue states helix, strand and loop (Q3). But the ultimate goal is reliable prediction of tertiary (three-dimensional, 3D) structure, not 100% single residue accuracy for secondary structure. A comparison of pairs of structurally homologous proteins with divergent sequences reveals that considerable variation in the position and length of secondary structure segments can be accommodated within the same 3D fold. It is therefore sufficient to predict the approximate location of helix, strand, turn and loop segments, provided they are compatible with the formation of 3D structure. Accordingly, we define here a measure of segment overlap (Sov) that is somewhat insensitive to small variations in secondary structure assignments. The new segment overlap measure ranges from an ignorance level of 37% (random protein pairs) via a current level of 72% for a prediction method based on sequence profile input to neural networks (PHD) to an average 90% level for homologous protein pairs. We conclude that the highest scores one can reasonably expect for secondary structure prediction are a single residue accuracy of Q3 > 85% and a fractional segment overlap of Sov > 90%.

Amino Acid Sequence↗
PubMed1997

Conformational analysis of peptides corresponding to all the secondary structure elements of protein L B1 domain: secondary structure propensities are not conserved in proteins with the same fold.

The solution conformation of three peptides corresponding to the two beta-hairpins and the alpha-helix of the protein L B1 domain have been analyzed by circular dichroism (CD) and nuclear magnetic resonance spectroscopy (NMR). In aqueous solution, the three peptides show low populations of native and non-native locally folded structures, but no well-defined hairpin or helix structures are formed. In 30% aqueous trifluoroethanol (TFE), the peptide corresponding to the alpha-helix adopts a high populated helical conformation three residues longer than in the protein. The hairpin peptides aggregate in TFE, and no significant conformational change occurs in the NMR observable fraction of molecules. These results indicate that the helical peptide has a significant intrinsic tendency to adopt its native structure and that the hairpin sequences seem to be selected as non-helical. This suggests that these sequences favor the structure finally attained in the protein, but the contribution of the local interactions alone is not enough to drive the formation of a detectable population of native secondary structures. This pattern of secondary structure tendencies is different to those observed in two structurally related proteins: ubiquitin and the protein G B1 domain. The only common feature is a certain propensity of the helical segments to form the native structure. These results indicate that for a protein to fold, there is no need for large native-like secondary structure propensities, although a minimum tendency to avoid non-native structures and to favor native ones could be required.

Amino Acid Sequence↗
PubMed1995

A new approach to the evaluation of protein secondary structure predictions at the level of the elements of secondary structure.

For many purposes, such as the prediction of the class of protein folds, the existence of an element of secondary structure rather than its precise position and length must be defined correctly. However, most methods for the evaluation of secondary structure prediction consider success in terms of the percentage of individual amino acids predicted correctly. In this paper the success in predicting elements of secondary structure is discussed. The number of overlapping residues in the predicted and observed secondary structures were considered as a function of the total number of amino acids in the observed and predicted secondary structures. A matrix search procedure was used to remove the ambiguity which similar studies may have had in defining the equivalent secondary structures between predicted and observed structures. In this study a loop was treated in the same way as an alpha-helix and a beta-strand. To describe the accuracy at the level of elements of secondary structure, a set of parameters was defined, similar to those used commonly at the level of individual amino acids. This approach was used to assess the methods of Chou and Fasman (1974b, Biochemistry, 13, 222-245), Lim (1974b, J. Mol. Biol., 88, 873-894) and Garnier et al. (1978, J. Mol. Biol., 120, 97-120). It was found that these methods were much poorer at the secondary structure level than at the amino acid level. This approach can be used generally for secondary structure prediction methods.

Amino Acids↗
PubMed2000

Targeting DNA secondary structures.

DNA secondary structures containing regions of single-stranded DNA have now been identified in the genomic DNA of a number of prokaryotic and eukaryotic species, including humans. Many of these secondary structures are associated with regions of DNA involved in regulation of transcription: promoters or upstream elements. The secondary structures involved appear likely to be hairpin or cruciform structures that may be recognition sites for binding of transcription factors. In the case of the coliphage N4 virion RNA polymerase, a defined hairpin in the polymerase promoter necessary for binding of the polymerase and regulation of transcription has been shown to be extruded under physiological conditions in plasmid DNA. The presence of single-stranded DNA in the promoters of several species suggests that regulatory hairpins may be involved in transcription of a number of genes. In support of this, hairpin- or cruciform-binding proteins have been identified from several species. These results imply that secondary structures in regulatory regions may be targets for drugs that bind and either block or enhance binding of proteins involved in transcription. In this review, we discuss the evidence for DNA secondary structures, particularly hairpins and cruciforms, in genomic DNA and review the studies to date of development of small molecules that can selectively bind these structures.

Animals↗