UNLABELLED: The Plant rDNA database (www.plantrdnadatabase.com) is an open access online resource providing detailed information on numbers, structures and positions of 5S and 18S-5.8S-26S (35S) ribosomal DNA loci. The data have been obtained from >600 publications on plant molecular cytogenetics, mostly based on fluorescent in situ hybridization (FISH). This edition of the database contains information on 1609 species derived from 2839 records, which means an expansion of 55.76 and 94.45%, respectively. It holds the data for angiosperms, gymnosperms, bryophytes and pteridophytes available as of June 2013. Information from publications reporting data for a single rDNA (either 5S or 35S alone) and annotation regarding transcriptional activity of 35S loci now appears in the database. Preliminary analyses suggest greater variability in the number of rDNA loci in gymnosperms than in angiosperms. New applications provide ideograms of the species showing the positions of rDNA loci as well as a visual representation of their genome sizes. We have also introduced other features to boost the usability of the Web interface, such as an application for convenient data export and a new section with rDNA-FISH-related information (mostly detailing protocols and reagents). In addition, we upgraded and/or proofread tabs and links and modified the website for a more dynamic appearance. This manuscript provides a synopsis of these changes and developments. DATABASE URL: http://www.plantrdnadatabase.com.

• MeSH
• databáze genetické * MeSH
• DNA rostlinná * MeSH
• internet MeSH
• ribozomální DNA * MeSH
• rostliny genetika   MeSH
• systémy řízení databází * MeSH
• výpočetní biologie MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Názvy látek
• DNA rostlinná * MeSH
• ribozomální DNA * MeSH

Molecular identification of micro- and macroorganisms based on nuclear markers has revolutionized our understanding of their taxonomy, phylogeny and ecology. Today, research on the diversity of eukaryotes in global ecosystems heavily relies on nuclear ribosomal RNA (rRNA) markers. Here, we present the research community-curated reference database EUKARYOME for nuclear ribosomal 18S rRNA, internal transcribed spacer (ITS) and 28S rRNA markers for all eukaryotes, including metazoans (animals), protists, fungi and plants. It is particularly useful for the identification of arbuscular mycorrhizal fungi as it bridges the four commonly used molecular markers-ITS1, ITS2, 18S V4-V5 and 28S D1-D2 subregions. The key benefits of this database over other annotated reference sequence databases are that it is not restricted to certain taxonomic groups and it includes all rRNA markers. EUKARYOME also offers a number of reference long-read sequences that are derived from (meta)genomic and (meta)barcoding-a unique feature that can be used for taxonomic identification and chimera control of third-generation, long-read, high-throughput sequencing data. Taxonomic assignments of rRNA genes in the database are verified based on phylogenetic approaches. The reference datasets are available in multiple formats from the project homepage, http://www.eukaryome.org.

• MeSH
• databáze genetické MeSH
• databáze nukleových kyselin MeSH
• Eukaryota * genetika   MeSH
• fylogeneze MeSH
• geny rRNA genetika   MeSH
• RNA ribozomální 18S genetika   MeSH
• zvířata MeSH
• Check Tag
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• RNA ribozomální 18S MeSH

Secondary data structure of RNA molecules provides insights into the identity and function of RNAs. With RNAs readily sequenced, the question of their structural characterization is increasingly important. However, RNA structure is difficult to acquire. Its experimental identification is extremely technically demanding, while computational prediction is not accurate enough, especially for large structures of long sequences. We address this difficult situation with rPredictorDB, a predictive database of RNA secondary structures that aims to form a middle ground between experimentally identified structures in PDB and predicted consensus secondary structures in Rfam. The database contains individual secondary structures predicted using a tool for template-based prediction of RNA secondary structure for the homologs of the RNA families with at least one homolog with experimentally solved structure. Experimentally identified structures are used as the structural templates and thus the prediction has higher reliability than de novo predictions in Rfam. The sequences are downloaded from public resources. So far rPredictorDB covers 7365 RNAs with their secondary structures. Plots of the secondary structures use the Traveler package for readable display of RNAs with long sequences and complex structures, such as ribosomal RNAs. The RNAs in the output of rPredictorDB are extensively annotated and can be viewed, browsed, searched and downloaded according to taxonomic, sequence and structure data. Additionally, structure of user-provided sequences can be predicted using the templates stored in rPredictorDB.

• MeSH
• databáze nukleových kyselin * MeSH
• konformace nukleové kyseliny * MeSH
• RNA * chemie   genetika   MeSH
• software * MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• RNA * MeSH

Biological membranes act as barriers or reservoirs for many compounds within the human body. As such, they play an important role in pharmacokinetics and pharmacodynamics of drugs and other molecular species. Until now, most membrane/drug interactions have been inferred from simple partitioning between octanol and water phases. However, the observed variability in membrane composition and among compounds themselves stretches beyond such simplification as there are multiple drug-membrane interactions. Numerous experimental and theoretical approaches are used to determine the molecule-membrane interactions with variable accuracy, but there is no open resource for their critical comparison. For this reason, we have built Molecules on Membranes Database (MolMeDB), which gathers data about over 3600 compound-membrane interactions including partitioning, penetration and positioning. The data have been collected from scientific articles published in peer-reviewed journals and complemented by in-house calculations from high-throughput COSMOmic approach to set up a baseline for further comparison. The data in MolMeDB are fully searchable and browsable by means of name, SMILES, membrane, method or dataset and we offer the collected data openly for further reuse and we are open to further additions. MolMeDB can be a powerful tool that could help researchers better understand the role of membranes and to compare individual approaches used for the study of molecule/membrane interactions.

• MeSH
• chemické databáze * MeSH
• lidé MeSH
• membrány MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

The human endogenous retroviruses database (HERVd) is maintained at the Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, and is accessible via the World Wide Web at http://herv.img.cas.cz. The HERVd provides complex information on and analysis of retroviral elements found in the human genome. It can be used for searches of individual HERV families, identification of HERV parts, graphical output of HERV structures, comparison of HERVs and identification of retrovirus integration sites.

• MeSH
• databáze nukleových kyselin * MeSH
• endogenní retroviry genetika   MeSH
• genom lidský MeSH
• integrace viru MeSH
• internet MeSH
• lidé MeSH
• molekulární evoluce MeSH
• myši MeSH
• systémy řízení databází MeSH
• ukládání a vyhledávání informací MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• myši MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Proteins are the most abundant component of the cell nucleus, where they perform a plethora of functions, including the assembly of long DNA molecules into condensed chromatin, DNA replication and repair, regulation of gene expression, synthesis of RNA molecules and their modification. Proteins are important components of nuclear bodies and are involved in the maintenance of the nuclear architecture, transport across the nuclear envelope and cell division. Given their importance, the current poor knowledge of plant nuclear proteins and their dynamics during the cell's life and division is striking. Several factors hamper the analysis of the plant nuclear proteome, but the most critical seems to be the contamination of nuclei by cytosolic material during their isolation. With the availability of an efficient protocol for the purification of plant nuclei, based on flow cytometric sorting, contamination by cytoplasmic remnants can be minimized. Moreover, flow cytometry allows the separation of nuclei in different stages of the cell cycle (G1, S, and G2). This strategy has led to the identification of large number of nuclear proteins from barley (Hordeum vulgare), thus triggering the creation of a dedicated database called UNcleProt, http://barley.gambrinus.ueb.cas.cz/ .

• Klíčová slova
• barley, cell cycle, database, flow-cytometry, localization, mass spectrometry, nuclear proteome, nucleus,
• MeSH
• buněčný cyklus * MeSH
• data mining MeSH
• databáze proteinů * MeSH
• jaderné proteiny klasifikace   metabolismus   MeSH
• ječmen (rod) cytologie   MeSH
• rostlinné proteiny klasifikace   metabolismus   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• jaderné proteiny MeSH
• rostlinné proteiny MeSH

Morphine is considered a gold standard in pain treatment. Nevertheless, its use could be associated with severe side effects, including drug addiction. Thus, it is very important to understand the molecular mechanism of morphine action in order to develop new methods of pain therapy, or at least to attenuate the side effects of opioids usage. Proteomics allows for the indication of proteins involved in certain biological processes, but the number of items identified in a single study is usually overwhelming. Thus, researchers face the difficult problem of choosing the proteins which are really important for the investigated processes and worth further studies. Therefore, based on the 29 published articles, we created a database of proteins regulated by morphine administration - The Morphinome Database (addiction-proteomics.org). This web tool allows for indicating proteins that were identified during different proteomics studies. Moreover, the collection and organization of such a vast amount of data allows us to find the same proteins that were identified in various studies and to create their ranking, based on the frequency of their identification. STRING and KEGG databases indicated metabolic pathways which those molecules are involved in. This means that those molecular pathways seem to be strongly affected by morphine administration and could be important targets for further investigations. SIGNIFICANCE: The data about proteins identified by different proteomics studies of molecular changes caused by morphine administration (29 published articles) were gathered in the Morphinome Database. Unification of those data allowed for the identification of proteins that were indicated several times by distinct proteomics studies, which means that they seem to be very well verified and important for the entire process. Those proteins might be now considered promising aims for more detailed studies of their role in the molecular mechanism of morphine action.

• Klíčová slova
• Bioinformatics, Database, Meta-analysis, Metabolic pathways, Morphine, Morphinome, Proteins, Proteome,
• MeSH
• databáze faktografické * MeSH
• databáze jako téma MeSH
• internet MeSH
• lidé MeSH
• metabolické sítě a dráhy MeSH
• morfin aplikace a dávkování   MeSH
• proteiny účinky léků   MeSH
• proteomika metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• morfin MeSH
• proteiny MeSH

Genetic variation occurring within conserved functional protein domains warrants special attention when examining DNA variation in the context of disease causation. Here we introduce a resource, freely available at www.prot2hg.com, that addresses the question of whether a particular variant falls onto an annotated protein domain and directly translates chromosomal coordinates onto protein residues. The tool can perform a multiple-site query in a simple way, and the whole dataset is available for download as well as incorporated into our own accessible pipeline. To create this resource, National Center for Biotechnology Information protein data were retrieved using the Entrez Programming Utilities. After processing all human protein domains, residue positions were reverse translated and mapped to the reference genome hg19 and stored in a MySQL database. In total, 760 487 protein domains from 42 371 protein models were mapped to hg19 coordinates and made publicly available for search or download (www.prot2hg.com). In addition, this annotation was implemented into the genomics research platform GENESIS in order to query nearly 8000 exomes and genomes of families with rare Mendelian disorders (tgp-foundation.org). When applied to patient genetic data, we found that rare (<1%) variants in the Genome Aggregation Database were significantly more annotated onto a protein domain in comparison to common (>1%) variants. Similarly, variants described as pathogenic or likely pathogenic in ClinVar were more likely to be annotated onto a domain. In addition, we tested a dataset consisting of 60 causal variants in a cohort of patients with epileptic encephalopathy and found that 71% of them (43 variants) were propagated onto protein domains. In summary, we developed a resource that annotates variants in the coding part of the genome onto conserved protein domains in order to increase variant prioritization efficiency. Database URL: www.prot2hg.com.

• MeSH
• anotace sekvence metody   MeSH
• data mining metody   MeSH
• databáze genetické * MeSH
• datové kurátorství metody   MeSH
• genetická variace * MeSH
• genom lidský genetika   MeSH
• genomika metody   MeSH
• internet MeSH
• lidé MeSH
• proteinové domény genetika   MeSH
• proteiny chemie   genetika   metabolismus   MeSH
• výpočetní biologie metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• proteiny MeSH

Chemotherapeutic regimens (CHR) and their administration are routine practice in contemporary oncology. The development of a structured, electronic database of standard CHR can help the faster propagation of information about new CHR and at the same time enable assessment of their adherence in clinical practice. The goal was to develop a standardized way to describe a regimen using XML, fill the database with currently available regimens and develop tools to assess the adherence of the treatment to chosen regimen, compare the dose-intensity and recognize the regimen from existing data on drug administration. The data are being inserted in cooperation with expert oncologists and the database currently contains about 260 CHRs. Such system can be used to enhance decision support systems and interoperability of HIS. The database and tools are available online on the internet.

• MeSH
• farmaceutické databáze * MeSH
• farmakoterapie * MeSH
• internet * MeSH
• systémy pro podporu klinického rozhodování * MeSH
• systémy řízení databází * MeSH
• ukládání a vyhledávání informací metody   MeSH
• uživatelské rozhraní počítače * MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

IRESite is an exhaustive, manually annotated non-redundant relational database focused on the IRES elements (Internal Ribosome Entry Site) and containing information not available in the primary public databases. IRES elements were originally found in eukaryotic viruses hijacking initiation of translation of their host. Later on, they were also discovered in 5'-untranslated regions of some eukaryotic mRNA molecules. Currently, IRESite presents up to 92 biologically relevant aspects of every experiment, e.g. the nature of an IRES element, its functionality/defectivity, origin, size, sequence, structure, its relative position with respect to surrounding protein coding regions, positive/negative controls used in the experiment, the reporter genes used to monitor IRES activity, the measured reporter protein yields/activities, and references to original publications as well as cross-references to other databases, and also comments from submitters and our curators. Furthermore, the site presents the known similarities to rRNA sequences as well as RNA-protein interactions. Special care is given to the annotation of promoter-like regions. The annotated data in IRESite are bound to mostly complete, full-length mRNA, and whenever possible, accompanied by original plasmid vector sequences. New data can be submitted through the publicly available web-based interface at http://www.iresite.org and are curated by a team of lab-experienced biologists.

• MeSH
• 5' nepřekládaná oblast chemie   MeSH
• databáze nukleových kyselin * MeSH
• iniciace translace peptidového řetězce * MeSH
• iniciační faktory metabolismus   MeSH
• internet MeSH
• messenger RNA chemie   MeSH
• plazmidy chemie   MeSH
• promotorové oblasti (genetika) MeSH
• regulační sekvence ribonukleových kyselin MeSH
• RNA virová chemie   MeSH
• uživatelské rozhraní počítače MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• 5' nepřekládaná oblast MeSH
• iniciační faktory MeSH
• messenger RNA MeSH
• regulační sekvence ribonukleových kyselin MeSH
• RNA virová MeSH