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At least 937 records · Page 52Linked to original sources
PubMed2003

E-MSD: the European Bioinformatics Institute Macromolecular Structure Database.

The E-MSD macromolecular structure relational database (http://www.ebi.ac.uk/msd) is designed to be a single access point for protein and nucleic acid structures and related information. The database is derived from Protein Data Bank (PDB) entries. Relational database technologies are used in a comprehensive cleaning procedure to ensure data uniformity across the whole archive. The search database contains an extensive set of derived properties, goodness-of-fit indicators, and links to other EBI databases including InterPro, GO, and SWISS-PROT, together with links to SCOP, CATH, PFAM and PROSITE. A generic search interface is available, coupled with a fast secondary structure domain search tool.

Animals↗
PubMed2003

Integrated functional and bioinformatics approach for the identification and experimental verification of RNA signals: application to HIV-1 INS.

Regulation of gene expression involves sequence elements in nucleic acids. In promoters, multiple sequence elements cooperate as functional modules, which in combination determine overall promoter activity. We previously developed computational tools based on this hierarchical structure for in silico promoter analysis. Here we address the functional organization of post-transcriptional control elements, using the HIV-1 genome as a model. Numerous mutagenesis studies demonstrate that expression of HIV structural proteins is restricted by inhibitory sequences (INS) in HIV mRNAs in the absence of the HIV-1 Rev protein. However, previous attempts to detect conserved sequence patterns of HIV-1 INS have failed. We defined four distinct sequence patterns for inhibitory motifs (weight matrices), which identified 22 out of the 25 known INS as well as several new candidate INS regions contained in numerous HIV-1 strains. The conservation of INS motifs within the HIV genome was not due to overall sequence conservation. The functionality of two candidate INS regions was analyzed with a new assay that measures the effect of non-coding mRNA sequences on production of red fluorescent reporter protein. Both new INS regions showed inhibitory activity in sense but not in antisense orientation. Inhibitory activity increased by combining both INS regions in the same mRNA. Inhibitory activity of known and new INS regions was overcome by co-expression of the HIV-1 Rev protein.

Computational Biology↗
PubMed2004

Bioinformatical assay of human gene morbidity.

Only a fraction of eukaryotic genes affect the phenotype drastically. We compared 18 parameters in 1273 human morbid genes, known to cause diseases, and in the remaining 16 580 unambiguous human genes. Morbid genes evolve more slowly, have wider phylogenetic distributions, are more similar to essential genes of Drosophila melanogaster, code for longer proteins containing more alanine and glycine and less histidine, lysine and methionine, possess larger numbers of longer introns with more accurate splicing signals and have higher and broader expressions. These differences make it possible to classify as non-morbid 34% of human genes with unknown morbidity, when only 5% of known morbid genes are incorrectly classified as non-morbid. This classification can help to identify disease-causing genes among multiple candidates.

Computational Biology↗
PubMed2004

BioInfo3D: a suite of tools for structural bioinformatics.

Here, we describe BioInfo3D, a suite of freely available web services for protein structural analysis. The FlexProt method performs flexible structural alignment of protein molecules. FlexProt simultaneously detects the hinge regions and aligns the rigid subparts of the molecules. It does not require an a priori knowledge of the flexible hinge regions. MultiProt and MASS perform simultaneous comparison of multiple protein structures. PatchDock performs prediction of protein-protein and protein-small molecule interactions. The input to all services is either protein PDB codes or protein structures uploaded to the server. All the services are available at http://bioinfo3d.cs.tau.ac.il.

Algorithms↗
PubMed2005

MetaRouter: bioinformatics for bioremediation.

Bioremediation, the exploitation of biological catalysts (mostly microorganisms) for removing pollutants from the environment, requires the integration of huge amounts of data from different sources. We have developed MetaRouter, a system for maintaining heterogeneous information related to bioremediation in a framework that allows its query, administration and mining (application of methods for extracting new knowledge). MetaRouter is an application intended for laboratories working in biodegradation and bioremediation, which need to maintain and consult public and private data, linked internally and with external databases, and to extract new information from it. Among the data-mining features is a program included for locating biodegradative pathways for chemical compounds according to a given set of constraints and requirements. The integration of biodegradation information with the corresponding protein and genome data provides a suitable framework for studying the global properties of the bioremediation network. The system can be accessed and administrated through a web interface. The full-featured system (except administration facilities) is freely available at http://pdg.cnb.uam.es/MetaRouter. Additional material: http://www.pdg.cnb.uam.es/biodeg_net/MetaRouter.

Bacteria↗
PubMed2005

Inference of relationships in the 'twilight zone' of homology using a combination of bioinformatics and site-directed mutagenesis: a case study of restriction endonucleases Bsp6I and PvuII.

Thus far, identification of functionally important residues in Type II restriction endonucleases (REases) has been difficult using conventional methods. Even though known REase structures share a fold and marginally recognizable active site, the overall sequence similarities are statistically insignificant, unless compared among proteins that recognize identical or very similar sequences. Bsp6I is a Type II REase, which recognizes the palindromic DNA sequence 5'GCNGC and cleaves between the cytosine and the unspecified nucleotide in both strands, generating a double-strand break with 5'-protruding single nucleotides. There are no solved structures of REases that recognize similar DNA targets or generate cleavage products with similar characteristics. In straightforward comparisons, the Bsp6I sequence shows no significant similarity to REases with known structures. However, using a fold-recognition approach, we have identified a remote relationship between Bsp6I and the structure of PvuII. Starting from the sequence-structure alignment between Bsp6I and PvuII, we constructed a homology model of Bsp6I and used it to predict functionally significant regions in Bsp6I. The homology model was supported by site-directed mutagenesis of residues predicted to be important for dimerization, DNA binding and catalysis. Completing the picture of sequence-structure-function relationships in protein superfamilies becomes an essential task in the age of structural genomics and our study may serve as a paradigm for future analyses of superfamilies comprising strongly diverged members with little or no sequence similarity.

Amino Acid Sequence↗
PubMed2006

ASD: a bioinformatics resource on alternative splicing.

Alternative splicing is an important regulatory mechanism of mammalian gene expression. The alternative splicing database (ASD) consortium is systematically collecting and annotating data on alternative splicing. We present the continuation and upgrade of the ASD [T. A. Thanaraj, S. Stamm, F. Clark, J. J. Riethoven, V. Le Texier, J. Muilu (2004) Nucleic Acids Res. 32, D64-D69] that consists of computationally and manually generated data. Its largest parts are AltSplice, a value-added database of computationally delineated alternative splicing events. Its data include alternatively spliced introns/exons, events, isoform splicing patterns and isoform peptide sequences. AltSplice data are generated by examining gene-transcript alignments. The data are annotated for various biological features including splicing signals, expression states, (SNP)-mediated splicing and cross-species conservation. AEdb forms the manually curated component of ASD. It is a literature-based data set containing sequence and properties of alternatively spliced exons, functional enumeration of observed splicing events, characterization of observed splicing regulatory elements, and a collection of experimentally clarified minigene constructs. ASD includes a workbench, which is an analysis tool that enables users to carry out splicing related analysis such as characterization of introns for various splicing signals, identification of splicing regulatory elements on a given RNA sequence, prediction of putative exons and prediction of putative translation start codons. The different ASD modules are integrated and can be accessed through user-friendly interfaces and visualization tools. ASD data has been integrated with Ensembl genome annotation project as a Distributed Annotation System (DAS) resource and can be viewed on Ensembl genome browser. The ASD resource is presented at (http://www.ebi.ac.uk/asd).

Alternative Splicing↗
PubMed2006

BASC: an integrated bioinformatics system for Brassica research.

The BASC system provides tools for the integrated mining and browsing of genetic, genomic and phenotypic data. This public resource hosts information on Brassica species supporting the Multinational Brassica Genome Sequencing Project, and is based upon five distinct modules, ESTDB, Microarray, MarkerQTL, CMap and EnsEMBL. ESTDB hosts expressed gene sequences and related annotation derived from comparison with GenBank, UniRef and the genome sequence of Arabidopsis. The Microarray module hosts gene expression information related to genes annotated within ESTDB. MarkerQTL is the most complex module and integrates information on genetic markers, maps, individuals, genotypes and traits. Two further modules include an Arabidopsis EnsEMBL genome viewer and the CMap comparative genetic map viewer for the visualization and integration of genetic and genomic data. The database is accessible at http://bioinformatics.pbcbasc.latrobe.edu.au.

Arabidopsis↗
PubMed2002

Using bioinformatics to identify kidney genes.

Online knowledge of genes involved in mouse kidney development is available from the literature (PubMed) and text-based (Kidney Development and Mouse Gene Expression-GXD) databases. Further information is in gene databases of other organisms having tissues homologous to the metanephros (e.g. Drosophila Malpighian tubules; tools are available for identifying mouse homologues of non-mouse genes) and from tissues homologous to those in the developing kidney (e.g. mesothelium that, like nephrons, arises from a mesenchyme to epithelial transition). Future databases will also include graphical data, and this knowledge will provide a further level of insight. These databases and tools are discussed here.

Animals↗
PubMed2002

Integrating genomics, bioinformatics, and classical genetics to study the effects of recombination on genome evolution.

This study presents compelling evidence that recombination significantly increases the silent GC content of a genome in a selectively neutral manner, resulting in a highly significant positive correlation between recombination and "GC3s" in the yeast Saccharomyces cerevisiae. Neither selection nor mutation can explain this relationship. A highly significant GC-biased mismatch repair system is documented for the first time in any member of the Kingdom Fungi. Much of the variation in the GC3s within yeast appears to result from GC-biased gene conversion. Evidence suggests that GC-biased mismatch repair exists in numerous organisms spanning six kingdoms. This transkingdom GC mismatch repair bias may have evolved in response to a ubiquitous AT mutational bias. A significant positive correlation between recombination and GC content is found in many of these same organisms, suggesting that the processes influencing the evolution of the yeast genome may be a general phenomenon. Nonrecombining regions of the genome and nonrecombining genomes would not be subject to this type of molecular drive. It is suggested that the low GC content characteristic of many nonrecombining genomes may be the result of three processes (1) a prevailing AT mutational bias, (2) random fixation of the most common types of mutation, and (3) the absence of the GC-biased gene conversion which, in recombining organisms, permits the reversal of the most common types of mutation. A model is proposed to explain the observation that introns, intergenic regions, and pseudogenes typically have lower GC content than the silent sites of corresponding open reading frames. This model is based on the observation that the greater the heterology between two sequences, the less likely it is that recombination will occur between them. According to this "Constraint" hypothesis, the formation and propagation of heteroduplex DNA is expected to occur, on average, more frequently within conserved coding and regulatory regions of the genome. In organisms possessing GC-biased mismatch repair, this would enhance the GC content of these regions through biased gene conversion. These findings have a number of important implications for the way we view genome evolution and suggest a new model for the evolution of sex.

AT Rich Sequence↗
PubMed2003

Optimized electrostatic surfaces parallel increased thermostability: a structural bioinformatic analysis.

It has been known for some time that thermophilic proteins generally have increased numbers of non-covalent interactions (salt bridges, hydrogen bonds, etc.) compared with their mesophilic orthologs. Recently, anecdotal structural comparisons suggest that non-specific acid-base ion pairs on the protein surface can be an evolutionary efficient mechanism to increase thermostability. In this comprehensive structural analysis, we confirm this to be the case. Comparison of 127 orthologous mesophilic- thermophilic protein groups indicates a clear preference for stabilizing acid-base pairs on the surface of thermophilic proteins. Compared with positions in the core, stabilizing surface mutations are less likely to disrupt the tertiary structure, and thus more likely to be evolutionarily selected. Therefore, we believe that our results, in addition to being theoretically interesting, will facilitate identification of charge-altering mutations likely to increase the stability of a particular protein structure.

Computational Biology↗
PubMed2002

Functional and comparative bioinformatic analysis of expressed genes from wheat spikes infected with Fusarium graminearum.

Fusarium head blight, caused by the fungus Fusarium graminearum, is a major disease on wheat (Triticum aestivum L.). Expressed sequence tags (ESTs) were used to identify genes expressed during the wheat-F. graminearum interaction. We generated 4,838 ESTs from a cDNA library prepared from spikes of the partially resistant cultivar Sumai 3 infected with F. graminearum. These ESTs were composed of 2,831 singlet (single-copy transcripts) and 715 contigs (multiple-copy transcripts) for a total of 3,546 non-redundant sequences. Four sets of nonredundant sequences were identified. One set contains numerous, common biotic and abiotic stress-related genes. Many of these stress-related genes were represented by multiple ESTs, indicating that they are abundantly expressed. A second set comprised 16 nonredundant sequences from F. graminearum that may be required for pathogenicity. A subset of these fungal genes encodes proteins associated with plant cell wall degradation. A third set of 326 nonredundant sequences had no DNA or amino acid sequence similarity to almost 1 million plant and over 7 million animal sequences in dbEST (as of 22 June 2001). Thus, these 326 nonredundant sequences have only been found in our F. graminearum-infected 'Sumai 3' cDNA library. A fourth set of 29 nonredundant sequences was found in our F. graminearum-infected wheat and another plant-pathogen interaction cDNA library. Some of these sequences encode proteins that may act in establishing various plant-fungal interactions.

Cell Wall↗
PubMed2006

The identification of novel ovarian proteases through the use of genomic and bioinformatic methodologies.

Proteolytic activities are essential for follicular growth, ovulation, as well as for luteal formation and regression. Using suppression subtractive hybridization (SSH), a novel mouse ovary-selective gene (termed protease serine 35, Prss35) was identified. Analysis of the mouse genome database using the Prss35 sequence led to the identification of a homologous protease (protease serine 23, Prss23). PRSS35 possesses general features that are characteristic of serine (Ser) proteases, but is unique in that the canonical Ser that defines this enzyme family is replaced by a threonine (Thr). In contrast, PRSS23 possesses the standard catalytic Ser typical for this family of proteases. As determined by real-time polymerase chain reaction (PCR), the Prss35 mRNA levels increased around the time of ovulation and remained elevated in the developing corpus luteum. Steroid ablation/replacement studies demonstrated progesterone-dependent regulation of Prss35 gene expression prior to follicle rupture. Prss35 gene expression was localized to the theca cells of pre-antral follicles, the theca and granulosa cells of pre-ovulatory and ovulatory follicles, as well as to the developing corpus luteum. In contrast, Prss23 mRNA levels decreased transiently after ovulation induction and again in the postovulatory period. Prss23 gene expression was noted primarily in the granulosa cells of the secondary/early antral follicles. PRSS35 and PRSS23 orthologs in the rat, human, rhesus macaque, chimpanzee, cattle, dog, and chicken were identified and found to be highly homologous to one another (75-99% homology). Collectively, these results suggest that the PRSS35 and PRSS23 genes have been conserved as critical ovarian proteases throughout the course of vertebrate evolution.

Amino Acid Sequence↗
PubMed2004

Bioinformatic analysis of the urine proteome of acute allograft rejection.

The urinary proteome in health and disease attracts increasing attention because of the potential diagnostic and pathophysiologic biomarker information carried by specific excreted proteins or their constellations. This cross-sectional study aimed to analyze the urinary proteome in patients with biopsy-proven acute rejection (n = 23) compared with transplant recipients with stable graft function (n = 22) and healthy volunteers (n = 20) and to correlate this with clinical, morphologic, and laboratory data. Urine samples were preadsorbed on four different protein chip surfaces, and the protein composition was analyzed using a surface-enhanced laser desorption/ionization time-of-flight mass spectrometer platform. The data were analyzed using two independent approaches to sample classification. Patients who experienced acute rejection could be distinguished from stable patients with a sensitivity of 90.5 to 91.3% and a specificity of 77.2 to 83.3%, depending on the classifier used. Protein masses that were important in constructing the classification algorithms included those of mass 2003.0, 2802.6, 4756.3, 5872.4, 6990.6, 19,018.8, and 25,665.7 Da. Normal urine was distinguished from transplant urine using a protein marker of mass 78,531.2 Da with both a sensitivity and a specificity of 100%. In conclusion, (1) urine proteome in transplant recipients with stable graft function was significantly different from healthy control subjects, and (2) acute rejections were characterized by a constellation of excreted proteins. Analysis of the urinary proteome may expedite the noninvasive prediction of acute graft rejection, thus importantly assisting in establishing the diagnosis.

Acute Disease↗
PubMed2026

Identification of putative causal associations between MicroRNAs and breast cancer via Mendelian randomization and bioinformatic analysis.

MicroRNAs (miRNAs) are implicated in breast cancer progression and prognosis. This study employed a Mendelian randomization (MR) framework to investigate causal relationships between plasma circulating miRNAs and breast cancer. miRNA expression quantitative trait loci were extracted from 2 independent cohorts. High-confidence miRNAs and their associated single-nucleotide polymorphisms were selected for 2-sample MR analyses using inverse-variance weighted and MR-Egger methods. Differential expression analysis and univariate Cox regression identified survival-associated genes in breast cancer, while enrichment analyses revealed pathways and biological processes linked to candidate targets. Pan-cancer analyses of miRNAs and targets were conducted via the ENCORI platform. Initial MR analyses in the discovery phase identified hsa-miR-100-5p, hsa-miR-125b-5p, and hsa-miR-339-5p as significantly associated with reduced breast cancer risk (P&#x2005;<&#x2005;.05), suggesting potential protective roles. A total of 1291 survival-associated differentially expressed genes were identified, with 39 overlapping targets implicated in miRNA-mediated breast cancer intervention. Enrichment analyses highlighted their involvement in cell cycle regulation and p53 signaling pathway. In the validation cohort, only hsa-miR-339-5p confirmed a protective effect on breast cancer risk, while hsa-miR-100-5p and hsa-miR-125b-5p did not reach significance. Pan-cancer profiling demonstrated aberrant miRNA expression across malignancies, prognostic relevance in multiple cancers, and significant negative correlations between miRNAs and target genes in breast tumors. Our findings provide novel insights into the causal roles of miRNAs in breast cancer pathogenesis and underscore their potential as noninvasive biomarkers and therapeutic targets. Future studies should prioritize functional validation and clinical translation of these miRNAs.

Humans↗
PubMed2004

Macro-array and bioinformatic analyses reveal mycobacterial 'core' genes, variation in the ESAT-6 gene family and new phylogenetic markers for the Mycobacterium tuberculosis complex.

To better understand the biology and the virulence determinants of the two major mycobacterial human pathogens Mycobacterium tuberculosis and Mycobacterium leprae, their genome sequences have been determined recently. In silico comparisons revealed that among the 1439 genes common to both M. tuberculosis and M. leprae, 219 genes code for proteins that show no similarity with proteins from other organisms. Therefore, the latter 'core' genes could be specific for mycobacteria or even for the intracellular mycobacterial pathogens. To obtain more information as to whether these genes really were mycobacteria-specific, they were included in a focused macro-array, which also contained genes from previously defined regions of difference (RD) known to be absent from Mycobacterium bovis BCG relative to M. tuberculosis. Hybridization of DNA from 40 strains of the M. tuberculosis complex and in silico comparison of these genes with the near-complete genome sequences from Mycobacterium avium, Mycobacterium marinum and Mycobacterium smegmatis were undertaken to answer this question. The results showed that among the 219 conserved genes, very few were not present in all the strains tested. Some of these missing genes code for proteins of the ESAT-6 family, a group of highly immunogenic small proteins whose presence and number is variable among the genomically highly conserved members of the M. tuberculosis complex. Indeed, the results suggest that, with few exceptions, the 'core' genes conserved among M. tuberculosis H37Rv and M. leprae are also highly conserved among other mycobacterial strains, which makes them interesting potential targets for developing new specific anti-mycobacterial drugs. In contrast, the genes from RD regions showed great variability among certain members of the M. tuberculosis complex, and some new specific deletions in Mycobacterium canettii, Mycobacterium microti and seal isolates were identified and further characterized during this study. Together with the distribution of a particular 6 or 7 bp micro-deletion in the gene encoding the polyketide synthase pks15/1, these results confirm and further extend the revised phylogenetic model for the M. tuberculosis complex recently presented.

Antigens, Bacterial↗