Database on the structure of small subunit ribosomal RNA.

Over 11 500 complete or nearly complete sequences are now available from the Antwerp database on small subunit ribosomal RNA. All these sequences are aligned with one another on the basis of the adopted secondary structure model, which is corroborated by the observation of compensating substitutions in the alignment. Literature references, accession numbers and taxonomic information are also compiled. The database can be consulted via the World Wide Web at URL http://rrna.uia.ac.be/ssu/     

Database on the structure of large subunit ribosomal RNA.

The Antwerp database on large subunit ribosomal RNA now contains 607 complete or nearly complete aligned sequences. The alignment incorporates secondary structure information for each sequence. Other information about the sequences, such as literature references, accession numbers and taxonomic information is also available. Information from the database can be downloaded or searched on the rRNA WWW Server at URL http://rrna.uia.ac.be/     

The European large subunit ribosomal RNA database

The European Large Subunit (LSU) Ribosomal RNA (rRNA) database is accessible via the rRNA WWW Server at URL http://rrna.uia.ac.be/lsu/. It is a curated database that compiles complete or nearly complete LSU rRNA sequences in aligned form, and also incorporates secondary structure information for each sequence. Taxonomic information, literature references and other information about the sequences are also available, and can be searched via the WWW interface.     

The European database on small subunit ribosomal RNA

The European database on SSU rRNA can be consulted via the World WideWeb at http://rrna.uia.ac.be/ssu/ and compiles all complete or nearly complete small subunit ribosomal RNA sequences. Sequences are provided in aligned format. The alignment takes into account the secondary structure information derived by comparative sequence analysis of thousands of sequences. Additional information such as literature references, taxonomy, secondary structure models and nucleotide variability maps, is also available.     

Database on the structure of small ribosomal subunit RNA.

The Antwerp database on small ribosomal subunit RNA now offers more than 6000 nucleotide sequences (August 1996). All these sequences are stored in the form of an alignment based on the adopted secondary structure model, which is corroborated by the observation of compensating substitutions in the alignment. Besides the primary and secondary structure information, literature references, accession numbers and detailed taxonomic information are also compiled. For ease of use, the complete database is made available to the scientific community via World Wide Web at URL http://rrna.uia.ac.be/ssu/ .     

VIDA: a virus database system for the organization of animal virus genome open reading frames

VIDA is a new virus database that organizes open reading frames (ORFs) from partial and complete genomic sequences from animal viruses. Currently VIDA includes all sequences from GenBank for Herpesviridae, Coronaviridae and Arteriviridae. The ORFs are organized into homologous protein families, which are identified on the basis of sequence similarity relationships. Conserved sequence regions of potential functional importance are identified and can be retrieved as sequence alignments. We use a controlled taxonomical and functional classification for all the proteins and protein families in the database. When available, protein structures that are related to the families have also been included. The database is available for online search and sequence information retrieval at http://www.biochem.ucl.ac.uk/bsm/virus_database/ VIDA.html.     

BAliBASE (Benchmark Alignment dataBASE): enhancements for repeats, transmembrane sequences and circular permutations

BAliBASE is specifically designed to serve as an evaluation resource to address all the problems encountered when aligning complete sequences. The database contains high quality, manually constructed multiple sequence alignments together with detailed annotations. The alignments are all based on three-dimensional structural superpositions, with the exception of the transmembrane sequences. The first release provided sets of reference alignments dealing with the problems of high variability, unequal repartition and large N/C-terminal extensions and internal insertions. Here we describe version 2.0 of the database, which incorporates three new reference sets of alignments containing structural repeats, trans-membrane sequences and circular permutations to evaluate the accuracy of detection/prediction and alignment of these complex sequences. BAliBASE can be viewed at the web site http://www-igbmc.u-strasbg. fr/BioInfo/BAliBASE2/index.html or can be downloaded from ftp://ftp-igbmc.u-strasbg.fr/pub/BAliBASE2 /.     

The European Large Subunit Ribosomal RNA Database

The European Large Subunit Ribosomal RNA Database compiles all complete or nearly complete large subunit ribosomal RNA sequences available from public sequence databases. These are provided in aligned format and the secondary structure, as derived by comparative sequence analysis, is included. Additional information about the sequences such as literature references and taxonomic information is also included. The database is available from our WWW server at http://rrna.uia.ac.be/lsu/.     

Database on the structure of small ribosomal subunit RNA.

The database on small ribosomal subunit RNA structure contains (June 1994) 2824 nucleotide sequences. All these sequences are stored in the form of an alignment based on the adopted secondary structure model, which in turn is corroborated by the observation of compensating substitutions in the alignment. The complete database is made available to the scientific community through anonymous ftp on our server in Antwerp. A special effort was made to improve electronic retrieval and a program is supplied that allows to create different file formats. The database can also be obtained from the EMBL nucleotide sequence library.     

The COG database: a tool for genome-scale analysis of protein functions and evolution

Rational classification of proteins encoded in sequenced genomes is critical for making the genome sequences maximally useful for functional and evolutionary studies. The database of Clusters of Orthologous Groups of proteins (COGs) is an attempt on a phylogenetic classification of the proteins encoded in 21 complete genomes of bacteria, archaea and eukaryotes (http://www. ncbi.nlm. nih.gov/COG). The COGs were constructed by applying the criterion of consistency of genome-specific best hits to the results of an exhaustive comparison of all protein sequences from these genomes. The database comprises 2091 COGs that include 56-83% of the gene products from each of the complete bacterial and archaeal genomes and approximately 35% of those from the yeast Saccharomyces cerevisiae genome. The COG database is accompanied by the COGNITOR program that is used to fit new proteins into the COGs and can be applied to functional and phylogenetic annotation of newly sequenced genomes.     

MIPS: a database for genomes and protein sequences

The Munich Information Center for Protein Sequences (MIPS-GSF), Martinsried, near Munich, Germany, continues its longstanding tradition to develop and maintain high quality curated genome databases. In addition, efforts have been intensified to cover the wealth of complete genome sequences in a systematic, comprehensive form. Bioinformatics, supporting national as well as European sequencing and functional analysis projects, has resulted in several up-to-date genome-oriented databases. This report describes growing databases reflecting the progress of sequencing the Arabidopsis thaliana (MATDB) and Neurospora crassa genomes (MNCDB), the yeast genome database (MYGD) extended by functional analysis data, the database of annotated human EST-clusters (HIB) and the database of the complete cDNA sequences from the DHGP (German Human Genome Project). It also contains information on the up-to-date database of complete genomes (PEDANT), the classification of protein sequences (ProtFam) and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database. These databases can be accessed through the MIPS WWW server (http://www. mips.biochem.mpg.de).     

Towards completion of the Earth's proteome

New protein sequences are deposited in databases at an accelerating pace; however, many of these are homologous to known proteins and could be considered redundant. If all historical releases of the protein database are analysed using the original sequence-clustering procedure described here, the fraction of newly sequenced proteins that are redundant is increasing. We interpret this as an indication that the sequencing of the Earth's proteome--the complete set of proteins on Earth--is approaching completion. We estimate the approximate size of the Earth's proteome to be 5 million sequences, most of which will be identified during the next 5 years. As the Earth's proteome nears completion, cluster analysis of the protein database will become essential to identify under-explored taxa to which future sequencing efforts should be directed and to focus research on protein families without experimental characterization.     

Proteomics-grade de novo sequencing approach

The conventional approach in modern proteomics to identify proteins from limited information provided by molecular and fragment masses of their enzymatic degradation products carries an inherent risk of both false positive and false negative identifications. For reliable identification of even known proteins, complete de novo sequencing of their peptides is desired. The main problems of conventional sequencing based on tandem mass spectrometry are incomplete backbone fragmentation and the frequent overlap of fragment masses. In this work, the first proteomics-grade de novo approach is presented, where the above problems are alleviated by the use of complementary fragmentation techniques CAD and ECD. Implementation of a high-current, large-area dispenser cathode as a source of low-energy electrons provided efficient ECD of doubly charged peptides, the most abundant species (65-80%), in a typical trypsin-based proteomics experiment. A new linear de novo algorithm is developed combining efficiency and speed, processing on a conventional 3 GHz PC, 1000 MS/MS data sets in 60 s. More than 6% of all MS/MS data for doubly charged peptides yielded complete sequences, and another 13% gave nearly complete sequences with a maximum gap of two amino acid residues. These figures are comparable with the typical success rates (5-15%) of database identification. For peptides reliably found in the database (Mowse score > or = 34), the agreement with de novo-derived full sequences was >95%. Full sequences were derived in 67% of the cases when full sequence information was present in MS/MS spectra. Thus the new de novo sequencing approach reached the same level of efficiency and reliability as conventional database-identification strategies.     

云南猕猴mtDNA控制区全序列测定

目的测定云南猕猴线粒体DNA控制区全序列,对其进行鉴定及进化分析。方法利用PCR技术扩增猕猴线粒体DNA控制区全序列,结合GenBank中下载的猕猴参考序列（AY612638）,采用多个生物学软件对序列碱基组成、同源性、转换／颠换比等遗传信息进行分析,并基于邻接法（NJ）和最小进化法（ME）构建系统进化树。结果云南猕猴线粒体DNA控制区全长为（1084-1089）bp,A、T、G和c四种碱基平均含量分别为29．9％、26．9％、12．3％和30．9％,A＋T含量（56．8％）高于G＋C含量（43．2％）。所分析序列间的同源性为91．5％-99．5％,平均核苷酸变异率为4．5％,变异类型包括转换、颠换、插入和缺失4种形式,转换／颠换比值平均为26．1。进化树显示云南猕猴存在两个平行进化的姐妹分支。结论本研究获得了云南猕猴mtDNA控制区全序列,为猕猴进化关系研究及mtDNA控制区功能研究奠定基础。     

Database on the structure of small ribosomal subunit RNA.

The Antwerp database on small ribosomal subunit RNA offers over 4300 nucleotide sequences (August 1995). All these sequences are stored in the form of an alignment based on the adopted secondary structure model, which in turn is corroborated by the observation of compensating substitutions in the alignment. Besides the primary and secondary structure information, literature references, accession numbers and detailed taxonomic information are also compiled. The complete database is made available to the scientific community through anonymous ftp and World Wide Web(WWW).     

MODBASE, a database of annotated comparative protein structure models

MODBASE is a queryable database of annotated comparative protein structure models. The models are derived by MODPIPE, an automated modeling pipeline relying on the programs PSI-BLAST and MODELLER. The database currently contains 3D models for substantial portions of approximately 17 000 proteins from 10 complete genomes, including those of Caenorhabditis elegans, Saccharomyces cerevisiae and Escherichia coli, as well as all the available sequences from Arabidopsis thaliana and Homo sapiens. The database also includes fold assignments and alignments on which the models were based. In addition, special care is taken to assess the quality of the models. ModBase is accessible through a web interface at http://guitar.rockefeller.edu/modbase/     

TransTerm, the translational signal database, extended to include full coding sequences and untranslated regions.

TransTerm is a database of mRNA sequences and parameters useful for detecting translational control signals in general. TransTerm-98 has been expanded beyond previous years to include full coding sequences and UTRs, while retaining the original small contexts about the coding sequence start- and stop-codons. The database contains more than 130 000 non-redundant coding sequences with associated untranslated regions (UTRs) from over 450 species. This includes the complete genomes of 12 prokaryotic and one eukaryotic organism. Several coding sequence parameters are available: coding sequence length, Nc, GC3 and, when it is computable, Codon Adaptation Index (CAI). Codon usage tables and summaries of start- and stop-codon contexts are also included. TransTerm-98 has both a relational database form with a WWW interface and a flatfile format, also available by Internet browser. TransTerm is available at: http://biochem.otago.ac.nz:800/Transterm/homepage.h tml     

MamMiBase: a mitochondrial genome database for mammalian phylogenetic studies

MamMiBase, the mammalian mitochondrial genome database, is a relational database of complete mitochondrial genome sequences of mammalian species. The database is useful for phylogenetic analysis, since it allows a ready retrieval of nucleotide and aminoacid individual alignments, in three different formats (NEXUS for PAUP program, for MEGA program and for PHYLIP program) of the 13 protein coding mitochondrial genes. The user may download the sequences that are useful for him/her based on their parameters values, such as sequence length, p-distances, base content, transition transversion ratio, gamma, which are also given by MamMiBase. A simple phylogenetic tree (neighbor-joining tree with Jukes Cantor distance) is also available for download, useful for parameter calculations and other simple tasks. AVAILABILITY: MamMiBase is available at http://www.mammibase.lncc.br