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Results for “Molecular Sequence Annotation”

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At least 883 records · Page 49Linked to original sources
PubMed2000

Protein analysis by mass spectrometry and sequence database searching: a proteomic approach to identify human lymphoblastoid cell line proteins.

Lymphoblastoid cell lines correspond to in vitro EBV-immortalized lymphocyte B-cells. These cells display a suitable model for experiments dealing with changes in protein expression occurring upon B-cell differentiation, after drug treatment, or after inhibition of some transcription factors. For all these reasons we have undertaken an effort aimed at developing a hematopoietic cell line protein two-dimensional electrophoresis (2-DE) database, containing B-lymphoblastoid 2-DE maps. In this work, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) peptide mass fingerprinting analysis was adopted for protein identification. The peptide mass fingerprinting identification and the sequence coverage obtained on colloidal Coomassie blue (CBB) stained gel was close to that obtained using zinc-imidazole staining. Everything considered, CBB being more comfortable for subsequent spot manipulations, CBB staining was chosen for identification of a larger number of polypeptides. The results suggest that reticulation of the gel can interfere preventing the uptake of the enzyme during the in-gel digestion step. Consequently, low molecular mass proteins appear more difficult to identify by mass fingerprinting. Finally, the information provided in this study allows the construction of a new annoted reference map of human lymphoblastoid cell proteins. Among the identified proteins 60% were not yet positioned on 2-DE maps in three of the most important well-documented databases. The annoted map will be accessible via Internet on the LBPP server at URL:http:// www-smbh.univ-paris13.fr/lbtp/index.htm.

Acrylic Resins↗
PubMed2004

Expression profiling of the Leishmania life cycle: cDNA arrays identify developmentally regulated genes present but not annotated in the genome.

As genomic sequencing of Leishmania nears completion, functional analyses that provide a global genetic perspective on biological processes are important. Despite polycistronic transcription, RNA transcript abundance can be measured using microarrays. To provide a resource to evaluate cDNA arrays, we undertook 5' expressed sequence tag analysis of 2183 full-length randomly selected cDNAs from Leishmania major promastigote (days 3, 7, 10 of culture in vitro), and lesion-derived amastigote libraries. PCR-amplified inserts from 1830 of these cDNA representing 1001 unique genes were spotted onto microarrays, and compared internally with PCR-amplified open reading frames (ORFs) from 904 genes representing 842 unique genes annotated in the L. major genome. Microarrays were screened with RNA from procyclic, metacyclic and amastigote populations of L. major. Redundant clones on the array gave highly reproducible results, providing confidence in identification of stage-specific gene expression. Four hundred and thirty unique (i.e. non-redundant) stage-specific genes were identified. A higher percentage of stage-specific gene expression was observed in amastigotes ( approximately 35%) compared to metacyclics ( approximately 12%) for both cDNAs and ORFs, but cDNAs provided a richer source of regulated genes than currently annotated ORFs from the Leishmania genome. In mapping cDNAs onto the Leishmania genome, we noted that approximately 42% aligned to regions not recognised as genes using current predictive annotation tools. These genes are highly represented in our stage-specific genes, and therefore represent important drug targets and vaccine candidates. Careful annotation of cDNAs onto the Leishmania genome will be important before producing the next generation of oligonucleotide arrays based on annotated genes of the genomic sequencing project.

Animals↗
PubMed2003

Prediction of proteinase cleavage sites in polyproteins of coronaviruses and its applications in analyzing SARS-CoV genomes.

Recently, we have developed a coronavirus-specific gene-finding system, ZCURVE_CoV 1.0. In this paper, the system is further improved by taking the prediction of cleavage sites of viral proteinases in polyproteins into account. The cleavage sites of the 3C-like proteinase and papain-like proteinase are highly conserved. Based on the method of traditional positional weight matrix trained by the peptides around cleavage sites, the present method also sufficiently considers the length conservation of non-structural proteins cleaved by the 3C-like proteinase and papain-like proteinase to reduce the false positive prediction rate. The improved system, ZCURVE_CoV 2.0, has been run for each of the 24 completely sequenced coronavirus genomes in GenBank. Consequently, all the non-structural proteins in the 24 genomes are accurately predicted. Compared with known annotations, the performance of the present method is satisfactory. The software ZCURVE_CoV 2.0 is freely available at http://tubic.tju.edu.cn/sars/.

Amino Acid Sequence↗
PubMed2003

In silico prediction of the peroxisomal proteome in fungi, plants and animals.

In an attempt to improve our abilities to predict peroxisomal proteins, we have combined machine-learning techniques for analyzing peroxisomal targeting signals (PTS1) with domain-based cross-species comparisons between eight eukaryotic genomes. Our results indicate that this combined approach has a significantly higher specificity than earlier attempts to predict peroxisomal localization, without a loss in sensitivity. This allowed us to predict 430 peroxisomal proteins that almost completely lack a localization annotation. These proteins can be grouped into 29 families covering most of the known steps in all known peroxisomal pathways. In general, plants have the highest number of predicted peroxisomal proteins, and fungi the smallest number.

Amino Acid Sequence↗
PubMed2000

MJ0109 is an enzyme that is both an inositol monophosphatase and the 'missing' archaeal fructose-1,6-bisphosphatase.

In sequenced genomes, protein coding regions with unassigned function constitute between 10 and 50% of all open reading frames. Often key enzymes cannot be identified using sequence homology searches. For example, despite the fact that methanogens have an apparently functional gluconeogenesis pathway, standard tools have been unable to identify a fructose-1,6-bisphosphatase (FBPase) gene in the sequenced Methanoccocus jannaschii genome. Using a combination of functional and structural tools, we have shown that the protein product of the M. jannaschii gene MJ0109, which had been tentatively annotated as an inositol monophosphatase (IMPase), has both IMPase and FBPase activities. Moreover, several gene products annotated as IMPases from different thermophilic organisms also possess FBPase activity. Thus, we have found the FBPase that was 'missing' in thermophiles and shown that it also functions as an IMPase.

Amino Acid Sequence↗
PubMed1990

Alignment of protein sequences using secondary structure: a modified dynamic programming method.

A method for comparison of protein sequences based on their primary and secondary structure is described. Protein sequences are annotated with predicted secondary structures (using a modified Chou and Fasman method). Two lettered code sequences are generated (Xx, where X is the amino acid and x is its annotated secondary structure). Sequences are compared with a dynamic programming method (STRALIGN) that includes a similarity matrix for both the amino acids and secondary structures. The similarity value for each paired two-lettered code is a linear combination of similarity values for the paired amino acids and their annotated secondary structures. The method has been applied to eight globin proteins (28 pairs) for which the X-ray structure is known. For protein pairs with high primary sequence similarity (greater than 45%), STRALIGN alignment is identical to that obtained by a dynamic programming method using only primary sequence information. However, alignment of protein pairs with lower primary sequence similarity improves significantly with the addition of secondary structure annotation. Alignment of the pair with the least primary sequence similarity of 16% was improved from 0 to 37% 'correct' alignment using this method. In addition, STRALIGN was successfully applied to seven pairs of distantly related cytochrome c proteins, and three pairs of distantly related picornavirus proteins.

Amino Acid Sequence↗
PubMed2004

Bacterial genomes as new gene homes: the genealogy of ORFans in E. coli.

Differences in gene repertoire among bacterial genomes are usually ascribed to gene loss or to lateral gene transfer from unrelated cellular organisms. However, most bacteria contain large numbers of ORFans, that is, annotated genes that are restricted to a particular genome and that possess no known homologs. The uniqueness of ORFans within a genome has precluded the use of a comparative approach to examine their function and evolution. However, by identifying sequences unique to monophyletic groups at increasing phylogenetic depths, we can make direct comparisons of the characteristics of ORFans of different ages in the Escherichia coli genome, and establish their functional status and evolutionary rates. Relative to the genes ancestral to gamma-Proteobacteria and to those genes distributed sporadically in other prokaryotic species, ORFans in the E. coli lineage are short, A+T rich, and evolve quickly. Moreover, most encode functional proteins. Based on these features, ORFans are not attributable to errors in gene annotation, limitations of current databases, or to failure of methods for detecting homology. Rather, ORFans in the genomes of free-living microorganisms apparently derive from bacteriophage and occasionally become established by assuming roles in key cellular functions.

AT Rich Sequence↗
PubMed2006

An unsupervised classification scheme for improving predictions of prokaryotic TIS.

BACKGROUND: Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation initiation sites (TIS) is still a challenging problem. Recently a number of post-processing tools have been proposed for improving the annotation of prokaryotic TIS. However, inherent difficulties of these approaches arise from the considerable variation of TIS characteristics across different species. Therefore prior assumptions about the properties of prokaryotic gene starts may cause suboptimal predictions for newly sequenced genomes with TIS signals differing from those of well-investigated genomes. RESULTS: We introduce a clustering algorithm for completely unsupervised scoring of potential TIS, based on positionally smoothed probability matrices. The algorithm requires an initial gene prediction and the genomic sequence of the organism to perform the reannotation. As compared with other methods for improving predictions of gene starts in bacterial genomes, our approach is not based on any specific assumptions about prokaryotic TIS. Despite the generality of the underlying algorithm, the prediction rate of our method is competitive on experimentally verified test data from E. coli and B. subtilis. Regarding genomes with high G+C content, in contrast to some previously proposed methods, our algorithm also provides good performance on P. aeruginosa, B. pseudomallei and R. solanacearum. CONCLUSION: On reliable test data we showed that our method provides good results in post-processing the predictions of the widely-used program GLIMMER. The underlying clustering algorithm is robust with respect to variations in the initial TIS annotation and does not require specific assumptions about prokaryotic gene starts. These features are particularly useful on genomes with high G+C content. The algorithm has been implemented in the tool "TICO" (TIs COrrector) which is publicly available from our web site.

Algorithms↗
PubMed2005

Mining the probiotic genome: advanced strategies, enhanced benefits, perceived obstacles.

Recent advances in DNA sequencing has made it possible to accurately decipher the entire genetic complement of a probiotic bacterium. Increases in sequencing capabilities have been enhanced through improved computer software that can annotate, or identify, the majority of genes encoded by the sequence. The availability of annotated genome sequence will be important in defining the capabilities of the individual strains of probiotic bacteria. It will also form the platform for microarray and proteomic technologies that allow real-time analysis of RNA and protein expression in the bacterial cell. Investigation of probiotic organisms with these new and potentially powerful tools will facilitate the development of the bacteria as therapeutic agents, and provide the mechanisms to produce advanced probiotic strains. This paper addresses the core technologies in the rapidly growing area of genomics, and their application to the molecular characterisation of probiotic bacteria and host-microbe interactions.

Databases, Genetic↗
PubMed2006

PDB-UF: database of predicted enzymatic functions for unannotated protein structures from structural genomics.

BACKGROUND: The number of protein structures from structural genomics centers dramatically increases in the Protein Data Bank (PDB). Many of these structures are functionally unannotated because they have no sequence similarity to proteins of known function. However, it is possible to successfully infer function using only structural similarity. RESULTS: Here we present the PDB-UF database, a web-accessible collection of predictions of enzymatic properties using structure-function relationship. The assignments were conducted for three-dimensional protein structures of unknown function that come from structural genomics initiatives. We show that 4 hypothetical proteins (with PDB accession codes: 1VH0, 1NS5, 1O6D, and 1TO0), for which standard BLAST tools such as PSI-BLAST or RPS-BLAST failed to assign any function, are probably methyltransferase enzymes. CONCLUSION: We suggest that the structure-based prediction of an EC number should be conducted having the different similarity score cutoff for different protein folds. Moreover, performing the annotation using two different algorithms can reduce the rate of false positive assignments. We believe, that the presented web-based repository will help to decrease the number of protein structures that have functions marked as "unknown" in the PDB file. AVAILABILITY: http://paradox.harvard.edu/PDB-UF and http://bioinfo.pl/PDB-UF.

Chromosome Mapping↗
PubMed2006

MAGOS: multiple alignment and modelling server.

UNLABELLED: MAGOS is a web server allowing automated protein modelling coupled to the creation of a hierarchical and annotated multiple alignment of complete sequences. MAGOS is designed for an interactive approach of structural information within the framework of the evolutionary relevance of mined and predicted sequence information. AVAILABILITY: The web server is freely available at http://pig-pbil.ibcp.fr/magos.

Algorithms↗
PubMed2004

AluGene: a database of Alu elements incorporated within protein-coding genes.

Alu elements are short interspersed elements (SINEs) approximately 300 nucleotides in length. More than 1 million Alus are found in the human genome. Despite their being genetically functionless, recent findings suggest that Alu elements may have a broad evolutionary impact by affecting gene structures, protein sequences, splicing motifs and expression patterns. Because of these effects, compiling a genomic database of Alu sequences that reside within protein-coding genes seemed a useful enterprise. Presently, such data are limited since the structural and positional information on genes and Alu sequences are scattered throughout incompatible and unconnected databases. AluGene (http://Alugene.tau.ac.il/) provides easy access to a complete Alu map of the human genome, as well as Alu-associated information. The Alu elements are annotated with respect to coding region and exon/intron location. This design facilitates queries on Alu sequences, locations, as well as motifs and compositional properties via a one-stop search page.

Alu Elements↗
PubMed2001

A Web-based classification system of DNA-binding protein families.

Rational classification of proteins encoded in sequenced genomes is critical for making the genome sequences maximally useful for functional and evolutionary studies. The family of DNA-binding proteins is one of the most populated and studied amongst the various genomes of bacteria, archaea and eukaryotes and the Web-based system presented here is an approach to their classification. The DnaProt resource is an annotated and searchable collection of protein sequences for the families of DNA-binding proteins. The database contains 3238 full-length sequences (retrieved from the SWISS-PROT database, release 38) that include, at least, a DNA-binding domain. Sequence entries are organized into families defined by PROSITE patterns, PRINTS motifs and de novo excised signatures. Combining global similarities and functional motifs into a single classification scheme, DNA-binding proteins are classified into 33 unique classes, which helps to reveal comprehensive family relationships. To maximize family information retrieval, DnaProt contains a collection of multiple alignments for each DNA-binding family while the recognized motifs can be used as diagnostically functional fingerprints. All available structural class representatives have been referenced. The resource was developed as a Web-based management system for online free access of customized data sets. Entries are fully hyperlinked to facilitate easy retrieval of the original records from the source databases while functional and phylogenetic annotation will be applied to newly sequenced genomes. The database is freely available for online search of a library containing specific patterns of the identified DNA-binding protein classes and retrieval of individual entries from our WWW server (http://kronos.biol.uoa.gr/~mariak/dbDNA.html).

Amino Acid Motifs↗
PubMed2004

BotDB: A database resource for the clostridial neurotoxins.

BotDB is a database designed to encapsulate the rapidly expanding amount of information about the structure and function of the botulinum (BoNT) and tetanus neurotoxins and to track a variety of basic and applied research efforts. The AceDB management system was chosen for this project because of its flexibility in manipulating semistructured data sets and for its information retrieval query languages. In addition to storing amino and nucleic acid sequences of the clostridial neurotoxin genes and proteins, BotDB provides sequence data for new classes of objects, including neurotoxin mutants, substrates and their mutants, associated nontoxic proteins, and C-fragment vaccine candidates. New data types provide information on detection assays for the neurotoxins and on structural data from X-ray crystallographic and circular dichroism spectroscopic studies. Kinetic parameters from biochemical experiments include reaction rates for substrate cleavage and block of neurotransmission. The structures and kinetic characteristics of presently known chemical inhibitors are also being archived. All of these data are associated with citations of the relevant literature for on-line annotation. Graphics viewer programs are provided to display stored images and three-dimensional representations of protein structures. BotDB is in the alpha test phase of development and will become a publicly available Web site.

Amino Acid Sequence↗
PubMed1993

Leukocyte gelatinase B cleavage releases encephalitogens from human myelin basic protein.

Gelatinase B, a marker enzyme for chronic inflammatory diseases such as rheumatoid arthritis and multiple sclerosis (MS), was found to cleave human myelin basic protein (MBP). Human MBP was digested with gelatinase B from leukocytes. The MBP peptide fragments were separated by RP-HPLC and the gelatinase B cleavage sites established by aminoterminal sequence analysis. Several novel P1-P1' cleavage sites for gelatinase B were found. The positions of the cleavage sites in human MBP were such that at least one peptide coincided with a documented major MBP-autoantigen. This study annotates human MBP as a substrate for human gelatinase B, determines novel P1-P'1 cleavage sites and defines one of the metalloproteinases as a possible link in the pathogenesis of demyelinating diseases such as MS.

Amino Acid Sequence↗
PubMed2005

Microarray expression profiling and functional characterization of AtTPS genes: duplicated Arabidopsis thaliana sesquiterpene synthase genes At4g13280 and At4g13300 encode root-specific and wound-inducible (Z)-gamma-bisabolene synthases.

The Arabidopsis thaliana genome contains at least 32 terpenoid synthase (AtTPS) genes [Aubourg et al., Mol. Genet. Genom. 267 (2002) 730] a few of which have recently been characterized. Based on hierarchical cluster analysis of AtTPS gene expression, measured by microarray profiling and validated with published expression data, we identified two groups of predominantly root expressed AtTPS genes containing five members with previously unknown biochemical functions (At4g13280, At4g13300, At5g48110, At1g33750, and At3g29410). Among the root expressed AtTPS genes, a pair of tandem-organized genes, At4g13280 (AtTPS12) and At4g13300 (AtTPS13), shares 91% predicted amino acid identity indicating recent gene duplication. Bacterial expression of cDNAs and enzyme assays showed that both At4g13280 and At4g13300 encode sesquiterpene synthases catalyzing the conversion of farnesyl diphosphate to (Z)-gamma-bisabolene and the additional minor products E-nerolidol and alpha-bisabolol. Expression of beta-glucuronidase (GUS) reporter gene fused to upstream genomic regions of At4g13280 or At4g13300 showed constitutive promoter activities in the cortex and sub-epidermal layers of Arabidopsis roots. In addition, highly localized promoter activities were found in leaf hydathodes and flower stigmata. Mechanical wounding of Arabidopsis leaves induced local expression of At4g13280 and At4g13300. The functional characterization of At4g13280 gene product AtTPS12 and At4g13230 gene product AtTPS13 as (Z)-gamma-bisabolene synthases, together with the recent characterization of two flower-specific AtTPS [At5g23960 and At5g44630; Tholl et al., Plant J. 42 (2005) 757], concludes the biochemical functional annotation of all four predicted Arabidopsis sesquiterpene synthase genes. Our data suggest biological functions for At4g13280 and At4g13300 in the rhizosphere with additional roles in aerial plant tissues.

Alkyl and Aryl Transferases↗
PubMed2005

Complete genomic nucleotide sequence and analysis of the temperate bacteriophage VWB.

The entire double-stranded DNA genome of the Streptomyces venezuelae bacteriophage VWB was sequenced and analyzed. Its size is 49,220 bp with an overall molar G + C content of 71.2 mol%. Sixty-one potential open reading frames were identified and annotated using several complementary bioinformatics tools. Clusters of functionally related putative genes were defined, supporting a refined version of the modular theory of phage evolution.

Amino Acid Sequence↗
PubMed2005

The development of a high-density canine microarray.

DNA microarrays can give global transcriptional views of cellular responses to disease, development, nutrition, and other biological states. They can be used to elucidate biological networks, develop diagnostics, and identify genetic targets and molecular mechanisms. The technology is widely used and can be a valuable complement to more "disease-centric" focused arrays. For these reasons, Nestlé designed a custom canine Affymetrix microarray representing transcripts from multiple tissues for use in areas where a more focused microarray had not already been developed. Sufficient numbers of sequences representing messenger RNAs (mRNAs) or expressed sequence tags (ESTs) is integral for the design of a global microarray chip. This chip was designed using public domain sequences (GenBank) and sequences from a proprietary canine EST database. In order to enrich the chip with annotated transcripts, both of these sequence sets were BLASTed against the nonredundant protein database. The sequences on the microarray were isolated from more than 48 different tissues. The final compliment of sequences had sequences unique to GenBank (3160), unique to the proprietary EST database (17,620), and present in both sources (1996). In comparison with human sequences (RefSeq), 74% of the canine sequences matched a human sequence.

Animals↗