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At least 19 recordsLinked to original sources
PubMed2001

Assessment of novel fold targets in CASP4: predictions of three-dimensional structures, secondary structures, and interresidue contacts.

In the Novel Fold category, three types of predictions were assessed: three-dimensional structures, secondary structures, and residue-residue contacts. For predictions of three-dimensional models, CASP4 targets included 5 domains or structures with novel folds, and 13 on the borderline between Novel Fold and Fold Recognition categories. These elicited 1863 predictions of these and other targets by methods more general than comparative modeling or fold recognition techniques. The group of Bonneau, Tsai, Ruczinski, and Baker stood out as performing well with the greatest consistency. In many cases, several groups were able to predict fragments of the target correctly-often at a level somewhat larger than standard supersecondary structures-but were not able to assemble fragments into a correct global topology. The methods of Bonneau, Tsai, Ruczinski, and Baker have been successful in addressing the fragment assembly problem for many but not all the target structures.

Bacterial Proteins↗
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↗
PubMed2004

Secondary structure and secondary structure dynamics of DNA hairpins complexed with HIV-1 NC protein.

Reverse transcription of the HIV-1 RNA genome involves several complex nucleic acid rearrangement steps that are catalyzed by the HIV-1 nucleocapsid protein (NC), including for example, the annealing of the transactivation response (TAR) region of the viral RNA to the complementary region (TAR DNA) in minus-strand strong-stop DNA. We report herein single-molecule fluorescence resonance energy transfer measurements on single immobilized TAR DNA hairpins and hairpin mutants complexed with NC (i.e., TAR DNA/NC). Using this approach we have explored the conformational distribution and dynamics of the hairpins in the presence and absence of NC protein. The data demonstrate that NC shifts the equilibrium secondary structure of TAR DNA hairpins from a fully "closed" conformation to essentially one specific "partially open" conformation. In this specific conformation, the two terminal stems are "open" or unwound and the other stems are closed. This partially open conformation is arguably a key TAR DNA intermediate in the NC-induced annealing mechanism of TAR DNA.

Binding Sites↗
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↗
PubMed2005

Dependency between consecutive local conformations helps assemble protein structures from secondary structures using Go potential and greedy algorithm.

Discretization of protein conformational space and fragment assembly methods simplify the search of native structures. These methods, mostly of Monte Carlo and genetic-type, do not exploit, however, the fact that short fragments describing consecutive parts of proteins are conformation-dependent. Yet, this information should be useful in improving ab initio and comparative protein structure modeling. In a preliminary study, we have assessed the possibility of using greedy algorithms for protein structure reconstruction based on the assembly of fragments of four-residue length. Greedy algorithms differ from Monte Carlo and genetic approaches in that they grow a polypeptide chain one fragment after another. Here, we move one step further in complexity, and provide strong evidence that the dependence between consecutive local conformations during assembly makes possible the reconstruction of protein structures from their secondary structures using a Go potential. Overall our procedure can reproduce 20 protein structures of 50-164 amino acids within 2.7 to 6.5 A RMSd and is able to identify native topologies for all proteins, although some targets are stabilized by very long-range interactions.

Algorithms↗
PubMed2003

Assembly of protein tertiary structures from secondary structures using optimized potentials.

We present a simulated annealing-based method for the prediction of the tertiary structures of proteins given knowledge of the secondary structure associated with each amino acid in the sequence. The backbone is represented in a detailed fashion whereas the sidechains and pairwise interactions are modeled in a simplified way, following the LINUS model of Srinivasan and Rose. A perceptron-based technique is used to optimize the interaction potentials for a training set of three proteins. For these proteins, the procedure is able to reproduce the tertiary structures to below 3 A in root mean square deviation (rmsd) from the PDB targets. We present the results of tests on twelve other proteins. For half of these, the lowest energy decoy has a rmsd from the native state below 6 A and, in 9 out of 12 cases, we obtain decoys whose rmsd from the native states are also well below 5 A.

Amino Acids↗
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↗
PubMed2003

Multiple structural alignment by secondary structures: algorithm and applications.

We present MASS (Multiple Alignment by Secondary Structures), a novel highly efficient method for structural alignment of multiple protein molecules and detection of common structural motifs. MASS is based on a two-level alignment, using both secondary structure and atomic representation. Utilizing secondary structure information aids in filtering out noisy solutions and achieves efficiency and robustness. Currently, only a few methods are available for addressing the multiple structural alignment task. In addition to using secondary structure information, the advantage of MASS as compared to these methods is that it is a combination of several important characteristics: (1) While most existing methods are based on series of pairwise comparisons, and thus might miss optimal global solutions, MASS is truly multiple, considering all the molecules simultaneously; (2) MASS is sequence order-independent and thus capable of detecting nontopological structural motifs; (3) MASS is able to detect not only structural motifs, shared by all input molecules, but also motifs shared only by subsets of the molecules. Here, we show the application of MASS to various protein ensembles. We demonstrate its ability to handle a large number (order of tens) of molecules, to detect nontopological motifs and to find biologically meaningful alignments within nonpredefined subsets of the input. In particular, we show how by using conserved structural motifs, one can guide protein-protein docking, which is a notoriously difficult problem. MASS is freely available at http://bioinfo3d.cs.tau.ac.il/MASS/.

Algorithms↗
PubMed2003

MASS: multiple structural alignment by secondary structures.

We present a novel method for multiple alignment of protein structures and detection of structural motifs. To date, only a few methods are available for addressing this task. Most of them are based on a series of pairwise comparisons. In contrast, MASS (Multiple Alignment by Secondary Structures) considers all the given structures at the same time. Exploiting the secondary structure representation aids in filtering out noisy results and in making the method highly efficient and robust. MASS disregards the sequence order of the secondary structure elements. Thus, it can find non-sequential and even non-topological structural motifs. An important novel feature of MASS is subset alignment detection: It does not require that all the input molecules be aligned. Rather, MASS is capable of detecting structural motifs shared only by a subset of the molecules. Given its high efficiency and capability of detecting subset alignments, MASS is suitable for a broad range of challenging applications: It can handle large-scale protein ensembles (on the order of tens) that may be heterogeneous, noisy, topologically unrelated and contain structures of low resolution.

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↗