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PubMed1987

Approaching a complete classification of protein secondary structure.

A complete classification of types of the protein secondary structure is developed on the basis of computer analysis of the crystallographic structural data deposited in the protein Data Bank. The majority of amino acid residues fall into five conformation types. A conclusion is drawn that the number of sequence variants of torsion angles phi, psi in globular proteins is limited and is essentially less than the number of possible amino acid sequences for this chain length. Along with alpha-helix and beta-structure, the distribution analysis assigning every maximum of distribution of amino acid conformations on Ramachandran map to a certain type of the secondary structure exposed a third type of the secondary structure that was previously neglected. This type of the structure is extended left-handed helical conformation, designated as mobile (M-) conformation. A full set of M-conformation fragments that seems to play a major role in protein globule dynamics has been obtained, a small radius of correlation for the polypeptide chain in M-conformation is demonstrated. It explains a prevalence of short segments of mobile conformation revealed in globular proteins. For secondary structure types, the frequency of occurrence of amino acid residues has been computed.

Amino Acids↗
PubMed1993

Secondary structure and temperature behaviour of acetylcholinesterase. Studies by Fourier-transform infrared spectroscopy.

The secondary structure of the acetylcholinesterase and its temperature behaviour have been investigated using Fourier-transform infrared (FTIR) spectroscopy. The data are compared to the structure obtained by X-ray analysis of the crystalline enzyme. The secondary structure was determined using the spectral features observed in the amide-I band (H2O buffer) and amide-I' band (D2O buffer) at 1600-1700 cm-1, taking advantage of resolution-enhancement techniques along with least-squares band-fitting procedures. The relative amounts of different secondary-structure elements, 34-36% for alpha-helices, 19-25% for beta-sheets, 15-16% for turns and 13-17% for irregular structures, were estimated. These data, obtained with the enzyme in solution, correlate well with X-ray data of the crystalline protein [Sussman, J. L., Hard, M., Frolow, F., Oefner, C., Goldman, A., Toker, L. & Silman, I. (1991) Science 253, 872-879]. These results are also in good agreement with those obtained by computing the psi and phi angles of the peptide backbone using the Kabsch and Sanders method [Kabsch, W. & Sanders, C. (1983) Biopolymers 22, 2577-2637]. In conjunction with the X-ray data, two bands in the FTIR spectra were assigned to different populations of long and short alpha-helices. Until now this phenomenon has only been described by theoretical calculations [Nevskaya, N. A. & Chirgadze, Yu. N. (1976) Biopolymers 15, 637-648]. The relationship between the thermally induced loss of enzyme activity and secondary-structure changes has also been investigated. The decrease in enzyme activity to zero at 30-40 degrees C was accompanied only by minor changes in the secondary structure. At 55-60 degrees C, denaturation of AChE occurs. In this temperature range, all bands assigned to the various secondary-structure elements abruptly disappear in a co-operative and irreversible manner, whereas the beta-aggregation bands (at 1622 cm-1 and the corresponding high-frequency band) increase in intensity at the same rate.

Acetylcholinesterase↗
PubMed2004

Structural roles of the active site iron(III) ions in catechol 1,2-dioxygenases and differential secondary structure changes in isoenzymes A and B from Acinetobacter radioresistens S13.

The reversible active site metal ion removal process for two catechol 1,2-dioxygenase isoenzymes (IsoA and IsoB) isolated from Acinetobacter radioresistens S13 has been monitored using circular dichroism and fluorescence spectroscopic techniques. IsoA and IsoB are homodimers, containing one iron(III) ion per subunit. Their amino acid sequence identity is 48.4%. Previous experiments suggested that structural diversities could be responsible for the differential thermal and pH stabilities of the two isoenzymes and of their distinct demetallation kinetics. The far-UV CD spectra of IsoA and IsoB catechol 1,2-dioxygenases from A. radioresistens S13 provide information on their secondary structures. IsoB appears to have a content of alpha-helices higher than IsoA. Upon metal ion removal, both proteins reversibly lose part of their secondary structure following distinct pathways. CD spectra simulations allowed us to estimate the content of alpha-helices, beta-sheets, and turns for each isoenzyme and to monitor the secondary structure rearrangements. The metal ion withdrawal has large influence on the secondary structure: in particular a significant reduction of alpha-helices content is observed for both isoenzymes. Intrinsic fluorescence emission spectra clearly support such results, adding information on the local environment changes of the tryptophan residues. The positioning of Trp250 in IsoB has been shown to be of particular interest for monitoring the local structure changes occurring upon metal ion removal. For the first time these studies allow to underline the role of active site iron ions on dioxygenases folding and stability, further evidencing the differences in structural assembling between the two isoenzymes from A. radioresistens S13.

Acinetobacter↗
PubMedDate not supplied

Using neural network predicted secondary structure information in automatic protein NMR assignment.

In CAPRI, an automated NMR assignment software package that was developed in our laboratory, both chemical shift values and coupling topologies of spin patterns are used in a procedure for amino acids recognition. By using a knowledge base of chemical shift distributions of the 20 amino acid types, fuzzy mathematics, and pattern recognition theory, the spin coupling topological graphs are mapped onto specific amino acid residues. In this work, we investigated the feasibility of using secondary structure information of proteins as predicted by neural networks in the automated NMR assignment. As the 1H and 13C chemical shifts of proteins are known to correlate to their secondary structures, secondary structure information is useful in improving the amino acid recognition. In this study, the secondary structures of proteins predicted by the PHD protein server and our own trained neural networks are used in the amino acid type recognition. The results show that the predicted secondary structure information can help to improve the accuracy of the amino acid recognition.

Algorithms↗
PubMed2002

Characterization of mitochondrial ribosomal RNA genes in gadiformes: sequence variations, secondary structural features, and phylogenetic implications.

Secondary structure features of mitochondrial ribosomal RNAs (mt-rRNAs) of bony fishes were investigated by a DNA sequence alignment approach. The small subunit (SSU) and large subunit (LSU) mt-rRNA genes were found to contain several additional variable regions compared to their mammalian counterparts. Fish mt-LSU rRNA genes were found to be longer than the mammalians due to increased length of some of the variable regions. The 5' and 3' ends of Atlantic cod mt-rRNAs were precisely mapped. The 3' ends of mt-SSU rRNAs were found to be homogenous and mono-adenylated, whereas that of the mt-LSU rRNAs were heterogenous and oligo-adenylated. The 5' ends of mt-SSU rRNAs appeared to be heterogenous, corresponding to the presumed first and second positions of the gene. Sequences of the central domain and the D-domain of the mt-SSU and mt-LSU rRNA genes, respectively, were determined and characterized for 11 gadiform species (representing the families Gadidae, Lotidae, Ranicipitidae, Merlucciidae, Phycidae, and Macrouridae) and one Lophiidae species. Detailed secondary structure models of the RNA regions are presented for the Atlantic cod (Gadus morhua) and Roundnose grenadier (Coryphaeonides rupestris). Saturation plots revealed that DNA nucleotide positions corresponding to unpaired RNA regions become saturated with transitions at sequence divergence levels about 0.15. Phylogenetic analyses revealed some aspects of gadiform relationships. Gadidae was identified as the most derived of the gadiform families. Lotidae was found to be the family closest related to Gadidae, and Ranicipitidae was also recognized as a derived gadiform taxon.

Animals↗
PubMed2003

Pfold: RNA secondary structure prediction using stochastic context-free grammars.

RNA secondary structures are important in many biological processes and efficient structure prediction can give vital directions for experimental investigations. Many available programs for RNA secondary structure prediction only use a single sequence at a time. This may be sufficient in some applications, but often it is possible to obtain related RNA sequences with conserved secondary structure. These should be included in structural analyses to give improved results. This work presents a practical way of predicting RNA secondary structure that is especially useful when related sequences can be obtained. The method improves a previous algorithm based on an explicit evolutionary model and a probabilistic model of structures. Predictions can be done on a web server at http://www.daimi.au.dk/~compbio/pfold.

Algorithms↗
PubMed1995

Periodicity of polar and nonpolar amino acids is the major determinant of secondary structure in self-assembling oligomeric peptides.

The tendency of a polypeptide chain to form alpha-helical or beta-strand secondary structure depends upon local and nonlocal effects. Local effects reflect the intrinsic propensities of the amino acid residues for particular secondary structures, while nonlocal effects reflect the positioning of the individual residues in the context of the entire amino acid sequence. In particular, the periodicity of polar and nonpolar residues specifies whether a given sequence is consistent with amphiphilic alpha-helices or beta-strands. The importance of intrinsic propensities was compared to that of polar/nonpolar periodicity by a direct competition. Synthetic peptides were designed using residues with intrinsic propensities that favored one or the other type of secondary structure. The polar/nonpolar periodicities of the peptides were designed either to be consistent with the secondary structure favored by the intrinsic propensities of the component residues or in other cases to oppose these intrinsic propensities. Characterization of the synthetic peptides demonstrated that in all cases the observed secondary structure correlates with the periodicity of the peptide sequence--even when this secondary structure differs from that predicted from the intrinsic propensities of the component amino acids. The observed secondary structures are concentration dependent, indicating that oligomerization of the amphiphilic peptides is responsible for the observed secondary structures. Thus, for self-assembling oligomeric peptides, the polar/nonpolar periodicity can overwhelm the intrinsic propensities of the amino acid residues and serves as the major determinant of peptide secondary structure.

Amino Acid Sequence↗
PubMedDate not supplied

[Prediction of the ensembles of RNA secondary structures. Kinetic analysis of self-organization].

A new approach to the problem of prediction of secondary structures of RNA, which is based on the kinetic analysis of self-organising molecules is proposed. Structural reconstructions that take place during formation of secondary structures are described in terms of Markov process. A set of states and probability transition were defined. Monte-Carlo methods were used to describe this process. Probability distributions of various secondary structures depending on time are given. Examples of calculations for ensembles of secondary structures of some tRNAs are described. An effective method of steady-state ensemble research, which is based on a quick RESETTING of all possible variance of the secondary structures of RNAs is given. By ascribing to each of these structures the value of probabilities as a function of free energy it was possible to obtain the Boltzmann ensemble of secondary structures.

Escherichia coli↗
PubMed2005

Protein secondary structure assignment revisited: a detailed analysis of different assignment methods.

BACKGROUND: A number of methods are now available to perform automatic assignment of periodic secondary structures from atomic coordinates, based on different characteristics of the secondary structures. In general these methods exhibit a broad consensus as to the location of most helix and strand core segments in protein structures. However the termini of the segments are often ill-defined and it is difficult to decide unambiguously which residues at the edge of the segments have to be included. In addition, there is a "twilight zone" where secondary structure segments depart significantly from the idealized models of Pauling and Corey. For these segments, one has to decide whether the observed structural variations are merely distorsions or whether they constitute a break in the secondary structure. METHODS: To address these problems, we have developed a method for secondary structure assignment, called KAKSI. Assignments made by KAKSI are compared with assignments given by DSSP, STRIDE, XTLSSTR, PSEA and SECSTR, as well as secondary structures found in PDB files, on 4 datasets (X-ray structures with different resolution range, NMR structures). RESULTS: A detailed comparison of KAKSI assignments with those of STRIDE and PSEA reveals that KAKSI assigns slightly longer helices and strands than STRIDE in case of one-to-one correspondence between the segments. However, KAKSI tends also to favor the assignment of several short helices when STRIDE and PSEA assign longer, kinked, helices. Helices assigned by KAKSI have geometrical characteristics close to those described in the PDB. They are more linear than helices assigned by other methods. The same tendency to split long segments is observed for strands, although less systematically. We present a number of cases of secondary structure assignments that illustrate this behavior. CONCLUSION: Our method provides valuable assignments which favor the regularity of secondary structure segments.

Algorithms↗
PubMed1992

Predicting protein secondary structure content. A tandem neural network approach.

A priori knowledge of secondary structure content can be of great use in theoretical and experimental determination of protein structure. We present a method that uses two computer-simulated neural networks placed in "tandem" to predict the secondary structure content of water-soluble, globular proteins. The first of the two networks, NET1, predicts a protein's helix and strand content given information about the protein's amino acid composition, molecular weight and heme presence. Because NET1 contained more adjustable parameters (network weights) than learning examples, this network experienced problems with memorization, which is the inability to generalize onto new, never-seen-before examples. To overcome this problem, we designed a second network, NET2, which learned to determine when NET1 was in a state of generalization. Together, these two networks produce prediction errors as low as 5.0% and 5.6% for helix and strand content, respectively, on a set of protein crystal structures bearing little homology to those used in network training. A comparison between three other methods including a multiple linear regression analysis, a non-hidden-node network analysis and a secondary structure assignment analysis reveals that our tandem neural network scheme is, indeed, the best method for predicting secondary structure content. The results of our analysis suggest that the knowledge of sequence information is not necessary for highly accurate predictions of protein secondary structure content.

Databases, Bibliographic↗
PubMed1999

A vector-based method for drawing RNA secondary structure.

MOTIVATION: To produce a polygonal display of RNA secondary structure with minimal overlap and distortion of structural elements, with minimal search for positioning them, and with minimal user intervention. RESULTS: A new algorithm for automatically drawing RNA secondary structure has been developed. The algorithm represents the direction and space for a structural element using vector and vector space. Two heuristics are used. The first heuristic is concerned with ordering structural elements to be positioned and the second with positioning them in space. The algorithm and a graphical user interface have been implemented in a working program called VizQFolder on IBM PC compatibles. Experimental results demonstrate that VizQFolder is capable of automatically generating nearly overlap-free polygonal displays for long RNA molecules. The only distortion performed to avoid overlap is the rotation of helices, leading to efficient generation of a polygonal display without sacrificing its readability. VizQFolder is not coupled to a specific prediction program of RNA secondary structure, and thus can be used for visualizing secondary structure models obtained by any means. AVAILABILITY: The executable code of VizQFolder is available at http://automation.inha.ac.kr/khan. It can also be obtained from the authors upon request.

Algorithms↗
PubMed1990

In vitro secondary structure analysis of mRNA from lacZ translation initiation mutants.

mRNA secondary structure can be an important determinant of the efficiency of translation initiation. To study the effect of secondary structure on translation initiation, in vitro secondary structure analysis was performed on 32 lacZ RNA transcripts that differ in their in vivo translation initiation efficiencies because of mutations. We have shown that well-translated RNA has a relatively unstructured translation initiation region in vitro. In contrast, the translation initiation region of many of the poorly translated RNA transcripts is involved in a stem-loop structure. Mutations that decrease the in vitro stability of the stem-loop increase the frequency of translation initiation. The sequences responsible for forming this stem-loop structure were localized to a small region of RNA. The results confirm some of the previous predictions of the RNA secondary structure of the mutant RNAs based on computer modeling, but they disagree with some of the predicted long-range interactions.

Base Composition↗
PubMed1996

Analysis, clustering and prediction of the conformation of short and medium size loops connecting regular secondary structures.

Loops are regions of non-repetitive conformation connecting regular secondary structures. They are both the most difficult and error prone regions of a protein to solve by X-ray crystallography and the hardest regions to model using knowledge-based procedures. While the core of a protein can be straight forwardly modelled from the structurally conserved regions of homologues of known structure, loops must be modelled from a selected homologue or from a loop chosen from outside the family. Here we present a loop prediction procedure that attempts to identify the conformational class of the loop rather than to select a specific loop from a database of fragments. The structures of some 2083 loops of one to eight residues in length were extracted from a database of 225 protein and protein domain structures. For each loop, the relative disposition of its bounding secondary structures is described by the separation between the tips of their axes, the angle and dihedral angle between their axes. From the clustering of the loops according to the root mean square deviation of their spatial fit, a total of 162 loop conformational classes, including 79% of loops, were identified. One-hundred and eight of these, involving 66% of the loops, were populated by at least four non-homologous loops or four loops sharing a low sequence identity. Another 54 classes, including 13% of the loops, were populated by at least three loops of low sequence similarity from three or fewer non-homologous groups. Most of the previously described loop conformations were found among the populated classes. For each class a template was constructed containing both sequence preferences and the relative disposition of bounding secondary structures among member loops. During comparative modelling, the conformation of a loop can be predicted by identifying a loop class with which its sequence and disposition of bounding secondary structures are compatible.

Amino Acid Sequence↗
PubMed1989

Secondary structure analysis of adenovirus tripartite leader.

RNA secondary structure analysis was performed to understand the translation function of the adenovirus tripartite leader, a 200-nucleotide 5' noncoding region found on all late viral mRNAs. The tripartite leader facilitates the translation of viral mRNAs at late but not early times after infection and eliminates the normal requirement for the eukaryotic initiation factor 4F or cap binding protein complex. Secondary structures were determined by probing 5' or 3' end-labeled tripartite leader RNAs under nondenaturing conditions with various single strand-specific nucleases, and the information was used to generate a potential model structure. The resulting structure is attractive since it may explain the unusual translation behavior conferred by the tripartite leader. We demonstrate that the first leader segment is predominantly single-stranded, a property consistent with the ability to enhance translation and provide independence from cap binding protein complex. In contrast, the remaining two leader segments form a moderately stable base-paired structure, except for a large hairpin loop. To confirm these findings, the secondary structure of the tripartite leader was also probed when it was attached to a large segment of a messenger RNA and was found to be very similar to that of the individual leader RNA. These findings suggest several possible mechanisms to account for the translation activity of the tripartite leader.

Adenoviridae↗
PubMed1987

The secondary structure of bacteriorhodopsin determined by Raman and circular dichroism spectroscopy.

The secondary structure of bacterio-opsin (BO), the retinal free protein-component of bacteriorhodopsin (BR), has been determined by Raman spectroscopy. Additional circular dichroism (CD) measurements have revealed only negligible conformational differences between BO in apomembranes and BR in purple membranes. Therefore, the secondary structure of BR was derived from the Raman data of BO. The protein conformation was determined to consist of 72-82% helices, 2-11% beta-strands, and 11-17% beta-turns. Only about half of the helical structures correspond to alpha 1-helices, the other half possess non-alpha 1-helical structures. According to the analysis of the Raman data, the derived secondary structure of BR was obtained with high reliability for all structure classes which can be distinguished by this method within the given uncertainty range. This is a remarkable difference from recently published secondary structural data derived from CD measurements where the helix content was reported to be between 50 and 80%. The inherent experimental and methodological uncertainties of the CD-technique leading to such a range of variation are critically discussed in comparison to the method of Raman spectroscopy. The combined application of Raman and CD spectroscopy, as performed here, is demonstrated to be a substantial improvement in the secondary structure determination of retinal-containing membrane proteins. On the basis of our results, some of the recently proposed structural models of BR with a beta-strand content of more than 11% can be ruled out.

Bacteriorhodopsins↗
PubMed2000

Comparative analysis of secondary structure of insect mitochondrial small subunit ribosomal RNA using maximum weighted matching.

Comparative analysis is the preferred method of inferring RNA secondary structure, but its use requires considerable expertise and manual effort. As the importance of secondary structure for accurate sequence alignment and phylogenetic analysis becomes increasingly realised, the need for secondary structure models for diverse taxonomic groups becomes more pressing. The number of available structures bears little relation to the relative diversity or importance of the different taxonomic groups. Insects, for example, comprise the largest group of animals and yet are very poorly represented in secondary structure databases. This paper explores the utility of maximum weighted matching (MWM) to help automate the process of comparative analysis by inferring secondary structure for insect mitochondrial small subunit (12S) rRNA sequences. By combining information on correlated changes in substitutions and helix dot plots, MWM can rapidly generate plausible models of secondary structure. These models can be further refined using standard comparative techniques. This paper presents a secondary structure model for insect 12S rRNA based on an alignment of 225 insect sequences and an alignment for 16 exemplar insect sequences. This alignment is used as a template for a web server that automatically generates secondary structures for insect sequences.

Algorithms↗
PubMed2004

Poly-L-lysine templated silicas: using polypeptide secondary structure to control oxide pore architectures.

Utilizing polypeptide secondary structure as a means for controlling oxide pore architectures is explored. Poly-L-lysine is used as a model polypeptide as its folding behavior is well understood and compatible with the sol-gel chemistry of silica. Here, we show that silicas synthesized with poly-L-lysine in a alpha-helix conformation possess cylindrical pores that are approximately 1.5 nm in size, whereas silicas synthesized with poly-L-lysine in a beta-sheet conformation possess larger pores, the size of which are a function of the poly-L-lysine concentration, or in other words the size of the aggregate. In both cases, highly porous materials are obtained. In-situ circular dichroism measurements of the synthesis mixtures show that the poly-L-lysine secondary structure is not perturbed during synthesis. Infrared spectroscopy of the as-synthesized materials is consistent with the poly-L-lysine retaining its secondary structure. Grand canonical Monte Carlo simulations were also performed to validate the interpretation of the experimental adsorption results. The experimental isotherms are consistent with simulated isotherms of cylindrical pores 1.3-1.7 nm in size, in good agreement with expected values. Our results suggest a new avenue for synthesizing porous oxides with highly tuneable pore sizes and shapes under mild conditions.

Adsorption↗
PubMed2005

Helix packing motif common to the crystal structures of two undecapeptides containing dehydrophenylalanine residues: implications for the de novo design of helical bundle super secondary structural modules.

De novo designed peptide based super secondary structures are expected to provide scaffolds for the incorporation of functional sites as in proteins. Self-association of peptide helices of similar screw sense, mediated by weak interactions, has been probed by the crystal structure determination of two closely related peptides: Ac-Gly1-Ala2-Delta Phe3-Leu4-Val5-DeltaPhe6-Leu7-Val8-DeltaPhe9-Ala10-Gly11-NH2 (I) and Ac-Gly1-Ala2-DeltaPhe3-Leu4-Ala5-DeltaPhe6-Leu7-Ala8-DeltaPhe9-Ala10-Gly11-NH2 (II). The crystal structures determined to atomic resolution and refined to R factors 8.12 and 4.01%, respectively, reveal right-handed 3(10)-helical conformations for both peptides. CD has also revealed the preferential formation of right-handed 3(10)-helical conformations for both molecules. Our aim was to critically analyze the packing of the helices in the solid state with a view to elicit clues for the design of super secondary structural motifs such as two, three, and four helical bundles based on helix-helix interactions. An important finding is that a packing motif could be identified common to both the structures, in which a given peptide helix is surrounded by six other helices reminiscent of transmembrane seven helical bundles. The outer helices are oriented either parallel or antiparallel to the central helix. The helices interact laterally through a combination of N--H...O, C--H...O, and C--H...pi hydrogen bonds. Layers of interacting leucine residues are seen in both peptide crystal structures. The packing of the peptide helices in the solid state appears to provide valuable leads for the design of super secondary structural modules such as two, three, or four helix bundles by connecting adjacent antiparallel helices through suitable linkers such as tetraglycine segments.

Amino Acid Motifs↗