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PubMed2005

HOPPSIGEN: a database of human and mouse processed pseudogenes.

Processed pseudogenes result from reverse transcribed mRNAs. In general, because processed pseudogenes lack promoters, they are no longer functional from the moment they are inserted into the genome. Subsequently, they freely accumulate substitutions, insertions and deletions. Moreover, the ancestral structure of processed pseudogenes could be easily inferred using the sequence of their functional homologous genes. Owing to these characteristics, processed pseudogenes represent good neutral markers for studying genome evolution. Recently, there is an increasing interest for these markers, particularly to help gene prediction in the field of genome annotation, functional genomics and genome evolution analysis (patterns of substitution). For these reasons, we have developed a method to annotate processed pseudogenes in complete genomes. To make them useful to different fields of research, we stored them in a nucleic acid database after having annotated them. In this work, we screened both mouse and human complete genomes from ENSEMBL to find processed pseudogenes generated from functional genes with introns. We used a conservative method to detect processed pseudogenes in order to minimize the rate of false positive sequences. Within processed pseudogenes, some are still having a conserved open reading frame and some have overlapping gene locations. We designated as retroelements all reverse transcribed sequences and more strictly, we designated as processed pseudogenes, all retroelements not falling in the two former categories (having a conserved open reading or overlapping gene locations). We annotated 5823 retroelements (5206 processed pseudogenes) in the human genome and 3934 (3428 processed pseudogenes) in the mouse genome. Compared to previous estimations, the total number of processed pseudogenes was underestimated but the aim of this procedure was to generate a high-quality dataset. To facilitate the use of processed pseudogenes in studying genome structure and evolution, DNA sequences from processed pseudogenes, and their functional reverse transcribed homologs, are now stored in a nucleic acid database, HOPPSIGEN. HOPPSIGEN can be browsed on the PBIL (Pole Bioinformatique Lyonnais) World Wide Web server (http://pbil.univ-lyon1.fr/) or fully downloaded for local installation.

Animals↗
PubMed2006

Non-canonical base pairs and higher order structures in nucleic acids: crystal structure database analysis.

Non-canonical base pairs, mostly present in the RNA, often play a prominent role towards maintaining their structural diversity. Higher order structures like base triples are also important in defining and stabilizing the tertiary folded structure of RNA. We have developed a new program BPFIND to analyze different types of canonical and non-canonical base pairs and base triples involving at least two direct hydrogen bonds formed between polar atoms of the bases or sugar O2' only. We considered 104 possible types of base pairs, out of which examples of 87 base pair types are found to occur in the available RNA crystal structures. Analysis indicates that approximately 32.7% base pairs in the functional RNA structures are non-canonical, which include different types of GA and GU Wobble base pairs apart from a wide range of base pair possibilities. We further noticed that more than 10.4% of these base pairs are involved in triplet formation, most of which play important role in maintaining long-range tertiary contacts in the three-dimensional folded structure of RNA. Apart from detection, the program also gives a quantitative estimate of the conformational deformation of detected base pairs in comparison to an ideal planar base pair. This helps us to gain insight into the extent of their structural variations and thus assists in understanding their specific role towards structural and functional diversity.

Algorithms↗
PubMed2006

Conformational specificity of non-canonical base pairs and higher order structures in nucleic acids: crystal structure database analysis.

Non-canonical base pairs contribute immensely to the structural and functional variability of RNA, which calls for a detailed characterization of their spatial conformation. Intra-base pair parameters, namely propeller, buckle, open-angle, stagger, shear and stretch describe structure of base pairs indicating planarity and proximity of association between the two bases. In order to study the conformational specificities of non-canonical base pairs occurring in RNA crystal structures, we have upgraded NUPARM software to calculate these intra-base pair parameters using a new base pairing edge specific axis system. Analysis of base pairs and base triples with the new edge specific axis system indicate the presence of specific structural signatures for different classes of non-canonical pairs and triples. Differentiating features could be identified for pairs in cis or trans orientation, as well as those involving sugar edges or C-H-mediated hydrogen bonds. It was seen that propeller for all types of base pairs in cis orientation are generally negative, while those for trans base pairs do not have any preference. Formation of a base triple is seen to reduce propeller of the associated base pair along with reduction of overall flexibility of the pairs. We noticed that base pairs involving sugar edge are generally more non-planar, with large propeller or buckle values, presumably to avoid steric clash between the bulky sugar moieties. These specific conformational signatures often provide an insight into their role in the structural and functional context of RNA.

Base Pairing↗
PubMed2004

A novel sequence similarity searching and visualization method based on overlappingly translated nucleic acids: the blastNP.

Sequence data are stored in nucleic acid and protein databases. Searching the nucleic acid databases is very specific but rather insensitive method. Searching protein databases is sensitive but not very specific procedure. It was expected that the combination of these methods might provide an optimal approach. Therefore an alternative method to TblastX has been developed, known as blastNP. Nucleic acids in database and query sequences were translated into overlapping protein-like sequences (overlappingly translated sequences or OTSs) before searching with blastP. Thus, each nucleic acid sequence is represented by a single "protein like" sequence (instead of three hypothetical proteins in different reading frames). The blastNP method is defined as a blastP that is performed on an overlappingly translated nucleic acid database using a similarly converted nucleic acid query. The specificity and sensitivity of blastNP and TblastX is very similar, however blastNP is more sensitive to detect short sequence similarities (less than 50 residues). BlastNP combines the advantages of nucleotide and protein blasts and bypasses many difficulties: (1). it is more sensitive to weak sequence similarities than blastN, (2). codon redundancy is eliminated, (3). the sensitivity to single nucleotide polymorphism, mutation and sequencing errors are reduced, (4). it is insensitive to frame shifts. This novel method was proved to find significant sequence similarities which remained hidden for other methods and is a promising tool for further understanding (and annotating) the function of many old and new sequences.

Amino Acid Sequence↗
PubMed2005

Usability of the kink parameters for nucleic acid structure in database.

DNA/RNA molecules with the specific three-dimensional structure, express the specific structural and biological functions. The knowledge integration based on three dimensional structures can be used to explain biochemical observations, to predict biological functions and to design drugs specific to a given complex system. The database cataloging the interaction motifs of nucleic acid moieties has been developed. Skew matrix, a kind of kink parameter, affords the structural description between the adjacent moieties. The proper values in skew matrix have the good properties, i.e., impregnable and flexible presentation. The geometrical parameters about hydrogen bond and base stacking would also provide the tolerant aspect for stereochemical bioinformatics. The tentative database including these parameters with the species and physical properties of the surrounding nucleic acid components and amino acids has been constructed.

Amino Acids↗
PubMed2001

Taxonomy workbench.

UNLABELLED: At advanced stages of working with user-defined protein and gene sequence collections, it is frequently necessary to link these data to the taxonomic tree and to extract subsets in accordance with taxonomic considerations. Since no general automatic tools had been available, this was a tedious manual effort. Our taxonomy workbench allows processing of sequence sets, mapping of these sets onto the taxonomic tree, collection of taxonomic subsets from them and printing of the whole tree or some part of it. As a side effect, the system enables queries to and navigation within the taxonomy database. AVAILABILITY: An implementation of the taxonomy workbench is accessible for public use as a www-service at http://mendel.imp.univie.ac.at/taxonomy/. Software components for the command-line and for the www-version are available on request. CONTACT: Georg.Schneider@nt.imp.univie.ac.at; Frank.Eisenhaber@nt.imp.univie.ac.at SUPPLEMENTARY INFORMATION: Documentation for the taxonomy workbench can be accessed at http://mendel.imp.univie.ac.at/taxonomy/help.html.

Databases, Nucleic Acid↗
PubMed1995

Analysis of local helix bending in crystal structures of DNA oligonucleotides and DNA-protein complexes.

Sequence-dependent bending of the helical axes in 112 oligonucleotide duplex crystal structures resident in the Nucleic Acid Database have been analyzed and compared with the use of bending dials, a computer graphics tool. Our analysis includes structures of both A and B forms of DNA and considers both uncomplexed forms of the double helix as well as those bound to drugs and proteins. The patterns in bending preferences in the crystal structures are analyzed by base pair steps, and emerging trends are noted. Analysis of the 66 B-form structures in the Nucleic Acid Database indicates that uniform trends within all pyrimidine-purine and purine-pyrimidine steps are not necessarily observed but are found particularly at CG and GC steps of dodecamers. The results support the idea that AA steps are relatively straight and that larger roll bends occur at or near the junctions of these A-tracts with their flanking sequences. The data on 16 available crystal structures of protein-DNA complexes indicate that the majority of the DNA bends induced via protein binding are sharp localized kinks. The analysis of the 30 available A-form DNA structures indicates that these structures are also bent and show a definitive preference for bending into the deep major groove over the shallow minor groove.

Base Sequence↗
PubMed1984

GENAS: a database system for nucleic acid sequence analysis.

A database system, named GENAS (GENe Analyzing System), for computer analysis of sequence was constructed using Adbis which is a relational database management system (1). GENAS enables us to retrieve any sequence data from EMBL nucleotide sequence data library (2) and readily to analyze them (if necessary, together with private data) by various application programs in a interactive manner. Analysis of structure of replication origin of replicons was demonstrated using this system.

Base Sequence↗
PubMed2005

KinMutBase: a registry of disease-causing mutations in protein kinase domains.

A large number of disease-causing mutations have been identified from several protein kinases. KinMutBase is a comprehensive knowledge base for human disease-related mutations in protein kinase domains (http://bioinf.uta.fi/KinMutBase/). The latest version contains 582 different mutations for 1,790 cases in 1,322 families. KinMutBase entries are described on the DNA, mRNA, and protein level. Numbers for affected patients and families are also provided. KinMutBase has extensive amount of links and cross-references to literature, other databases, and information sources. There are numerous interactive pages about sequences, structures, mutation statistics, and diseases. Detailed statistical study was done on frequencies of different types of mutations both on the DNA and protein level in serine/threonine kinase (PSK) and tyrosine kinase (PTK). Three-dimensional structures indicate clustering of disease-related mutations mainly to conserved subdomains, and substrate and coligand binding amino acids, although mutations appear throughout the sequences. CpG containing codons, especially for arginine, constitute the majority of mutational hotspots. There are certain clear differences in mutation patterns and types between PSKs and PTKs.

Amino Acid Sequence↗
PubMed2003

Fast liquid chromatography coupled to electrospray tandem mass spectrometry peptide sequencing for cross-species protein identification.

Using a parallel microcolumn switching liquid chromatography set-up coupled to a quadrupole time-of-flight mass spectrometer, a rapid liquid chromatography/mass spectrometric (LC/MS) protein identification method is presented. Without prior sample clean-up up to 300 protein digest samples a day can be processed. Using data-directed acquisition, up to 10 fragmentation analyses for each protein sample can be acquired in the same chromatographic run that can be used for database searching. Using internal peptide sequence information, protein databases and the various nucleic acid databases can both be queried for cross-species identification of the protein sample. The method was evaluated and put into force to generate data for a tobacco cell culture protein database.

Cell Line↗
PubMed2002

IMGT gene identification and Colliers de Perles of human immunoglobulins with known 3D structures.

A new database, IMGT/3Dstructure-DB, was developed and implemented in the IMGT (international ImMunoGeneTics database) information system (http://imgt.cines.fr) to provide a unique expertised resource on immunoglobulin and T-cell receptor structural data. Corresponding protein sequences were annotated with IMGT tools, which allow the precise identification of the genes expressed in these proteins, and the description of framework and complementarity determining regions according to the IMGT standardized nomenclature and IMGT unique numbering. Two-dimensional graphical representations of the V-DOMAINs, designated as Colliers de Perles, are automatically produced. A query Web interface allows interactive search of the IMGT/3D structure-DB data. In this article, IMGT gene identification and Colliers de Perles of human immunoglobulins with known 3D structures in the Protein Data Bank are presented.

Alleles↗
PubMed2003

Different protein tyrosine phosphatase superfamilies resulting from different gene reading frames.

Protein tyrosine phosphatases (PTPs) are comprised of two superfamilies, the phosphatase I superfamily containing a single low-molecular-weight PTP (lmwPTP) family and the phosphatase II superfamily including both the higher-molecular-weight PTP (hmwPTP) and the dual-specificity phosphatase (DSP) families. The phosphatase I and II superfamilies are often considered to be the result of convergent evolution. The PTP sequence and structure analyses indicate that lmwPTPs, hmwPTPs, and DSPs share similar structures, functions, and a common signature motif, although they have low sequence identities and a different order of active sites in sequence or a circular permutation. The results of this work suggest that lmwPTPs and hmwPTPs/DSPs are remotely related in evolution. The earliest ancestral gene of PTPs could be from a short fragment containing about 90 approximately 120 nucleotides or 30 approximately 40 residues; however, a probable full PTP ancestral gene contained one transcript unit with two lmwPTP genes. All three PTP families may have resulted from a common ancestral gene by a series of duplications, fusions, and circular permutations. The circular permutation in PTPs is caused by a reading frame difference, which is similar to that in DNA methyltransferases. Nevertheless, the evolutionary mechanism of circular permutation in PTP genes seems to be more complicated than that in DNA methyltransferase genes. Both mechanisms in PTPs and DNA methyltransferases can be used to explain how some protein families and superfamilies came to be formed by circular permutations during molecular evolution.

Amino Acid Sequence↗