MfunGD provides a resource for annotated mouse proteins and their occurence in protein networks. Protein function annotation is performed using the Functional Catalogue (FunCat) annotation scheme, which is a hierarchically structured classification system (Ruepp et al., NAR, 2004). To provide up-to-date similarity search results and InterPro domain analyses, the protein entries are interconnected with the SIMAP database (Rattei et al., NAR, 2006). The gene models are based on the RefSeq mouse cDNAs (Pruitt et al., NAR, 2007) The work of our group is focussed on the annotation of biological systems. Therefore, results from the Mammalian Protein-Protein Interaction Database ( MPPI, (Pagel et al., Bioinformatics, 2005 )) and the Comprehensive Resource of Mammalian Protein Complexes (CORUM, (Ruepp et al., NAR, 2007)) are linked to the MfunGD dataset. Links to external resources are also provided (e.g. Refseq, Uniprot, UCSC Genome Browser). MfunGD is implemented in GenRE, a J2EE based component oriented multi-tier architecture (Mewes et al., NAR, 2006). ... [Information of the supplier]
The Death domain (DD) superfamily is one of the largest classes of protein interaction modules and plays a pivotal role in the apoptosis, inflammation, necrosis, and immune cell signaling pathways. Critical caspase activating complexes in the apoptosis and inflammation signaling pathways are assembled via the DD superfamily. These domains are also involved in recruiting downstream effectors for immune cell receptor signaling, intracellular pathogen sensing, and response to DNA damage. To stimulate future researches among scientists who are interested in the DD superfamily mediated signaling pathway, we have developed the Death Domain Database, a manually curated database that aims to provide comprehensive information on PPIs of human DD superfamily. The current version of the Death Domain Database documents 175 PPI pairs among 99 DDS by curating 295 peer-reviewed publications. The Death Domain Database provides a detailed summary of PPI data, which fits into 3 categories: interaction, characterization, and functional role. Users can find in-depth information specified in the literature on relevant analytical methods, structural information. The Death Domain Database has a user-friendly interface with several helpful features, including a search engine, an interaction map, and a function for cross-referencing useful external databases. Our Death Domain Database will provide a valuable tool to assist in understanding and organizing the molecular interaction network of the DD superfamily. ... [Information of the supplier]
No other database than ESTHER holds all alpha/beta hydrolase fold proteins together: Interpro, Prosite, Pfam, have multiple entries for subsets of this structural superfamily. A table Synthese shows the correspondance between these database entries and the subfamilies in ESTHER. The ESTHER Table is now a little to big to be usefull. Each file contains one of the 31219 non redundant proteins/genes. The tables grouped in the family table, the syntheses table or the structure table may be more usefull. The Gene_locus nomenclature for these non-redundant entries is a name with 5 characters for the organisms (3 for genera, 2 for the species, except when a common 5 character name exists. ex: ratno is for Rattus norvegicus and human for man. This allows us to keep close to the Swiss-Prot nomenclature). The last characters define the protein, ex: human-acche represents human acetylcholinesterase. ... [Information of the supplier]
SUPERFAMILY is a database of structural and functional annotation for all proteins and genomes. The SUPERFAMILY annotation is based on a collection of hidden Markov models, which represent structural protein domains at the SCOP superfamily level. A superfamily groups together domains which have an evolutionary relationship. The annotation is produced by scanning protein sequences from over 2,414 completely sequenced genomes against the hidden Markov models. For each protein you can: a) Submit sequences for SCOP classification; b) View domain organisation, sequence alignments and protein sequence details For each genome you can: a) Examine superfamily assignments, phylogenetic trees, domain organisation lists and networks; b) Check for over- and under-represented superfamilies within a genome For each superfamily you can: a) Inspect SCOP classification, functional annotation, Gene Ontology annotation, InterPro abstract and genome assignments; b) Explore taxonomic distribution of a superfamily across the tree of life All annotation, models and the database dump are freely available for download to everyone. SUPERFAMILY is a member of the InterPro consortium of protein annotation databases, and has been integrated into the Ensembl eukaryotic genome project and The Arabidopsis Information Resource. To date, the SUPERFAMILY publications have been cited over 1,000 times. SUPERFAMILY has been used in structural, functional, evolutionary and phylogenetic research projects. ... [Information of the supplier]
SEVENS summarizes GPCR (G-protein coupled receptor) genes that are identified with high accuracy from 56 eukaryote genomes, by a pipeline integrating such software as a gene finder, a sequence alignment tool, a motif and domain assignment tool, and a transmembrane helix predictor. This treats a larger data space (than that in currently available other databases), which should include not only the expressed sequences but also the newly identified sequences that cannot be detected by in vivo experiments, although they definitely exist on the genome sequence and are just waiting for the opportunity to express their functions. SEVENS can provides the infrastructure of general information of "GPCR universe" for comparative genomics. ... [Information of the supplier]
BioMagResBank (BMRB) is the publicly-accessible depository for NMR results from peptides, proteins, and nucleic acids recognized by the International Society of Magnetic Resonance and by the IUPAC-IUBMB-IUPAB Inter-Union Task Group on the Standardization of Data Bases of Protein and Nucleic Acid Structures Determined by NMR Spectroscopy. In addition, BMRB provides reference information and maintains a collection of NMR pulse sequences and computer software for biomolecular NMR. Access to data in BMRB is free directly from its web site (URL http://www.bmrb.wisc.edu) and ftp site (ftp.bmrb.wisc.edu) and will remain so as public funding permits. The concept of a biomolecular NMR data bank was developed under a five-year research grant awarded to the University of Wisconsin-Madison from the National Library of Medicine, National Institutes of Health. ... [Information of the supplier]
Proteomik ist eine sehr junge Forschungsrichtung mit einer sehr viel älteren Wurzel: der Proteinanalytik. Diese befaßt sich mit der Aufklärung von molekularen Eigenschaften wie Aminosäuresequenz, dreidimensionale Struktur und biologische Aktivität individueller Proteine. Untersuchungsgegenstand der Proteomik ist demgegenüber die Gesamtheit aller Proteine in einer biologischen Probe im Moment der Untersuchung und bei den dafür gültigen Bedingungen. Dafür wurde vor etwa 7 Jahren der Begriff "Proteom" geprägt. Die DGPF versteht sich als Plattform, um die in Deutschland an verschiedenen Standorten und im Rahmen unterschiedlicher Programme angelaufenen Proteomik-Aktivitäten unter einem Dach zusammenzuführen und darüber hinaus die Proteomforschung durch national und international abgestimmte Initiativen voranzubringen. Durch eine übergreifende Koordination soll eine Bündelung und optimale Nutzung der nationalen Forschungs-kapazitäten herbeigeführt werden, um im weltweiten Wettbewerb an führender Stelle bestehen zu können. ... [Information des Anbieters]
The UCSD-Nature Signaling Gateway is a comprehensive and up-to-the-minute resource for anyone interested in signal transduction. This Gateway represents a unique collaboration between the University of California San Diego (UCSD) and Nature Publishing Group and is designed to facilitate navigation of the complex world of research into cellular signaling. Information and data presented here are freely available to all. It is powered by the San Diego Supercomputer Center (SDSC). At the heart of this collaboration is the Molecule Pages, a relational database of all significant published qualitative and quantitative information on cell signaling proteins. This database will also allow entirely new insights to be gleaned through intelligent data mining: the Molecule Pages database was developed with the specific aim of allowing interactions, and indeed whole pathways, to be modeled. Our goal is to filter the data to present only validated information. Thus, invited experts will enter much of the data and every Molecule Page will be comprehensively peer reviewed by Nature. We regard a Molecule Page as a new full-fledged form of publication. ... [Information of the supplier]
PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria. [Information of the supplier]
The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources. These include submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centres and routine and comprehensive exchange with our partners in the International Nucleotide Sequence Database Collaboration (INSDC). ENA is made up of a number of distinct databases that includes EMBL-Bank, the newly established Sequence Read Archive (SRA) and the Trace Archive each with their own data formats and standards. ... [Information of the supplier]