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Found 6 result(s)
MatrixDB is a freely available database focused on interactions established by extracellular proteins and polysaccharides. MatrixDB takes into account the multimetric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB includes interaction data extracted from the literature by manual curation in our lab, and offers access to relevant data involving extracellular proteins provided by our IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. MatrixDB is in charge of the curation of papers published in Matrix Biology since January 2009
>>>!!!<<< as stated 2017-06-09 MPIDB is no longer available under URL http://www.jcvi.org/mpidb/about.php >>>!!!<<< The microbial protein interaction database (MPIDB) aims to collect and provide all known physical microbial interactions. Currently, 24,295 experimentally determined interactions among proteins of 250 bacterial species/strains can be browsed and downloaded. These microbial interactions have been manually curated from the literature or imported from other databases (IntAct, DIP, BIND, MINT) and are linked to 26,578 experimental evidences (PubMed ID, PSI-MI methods). In contrast to these databases, interactions in MPIDB are further supported by 68,346 additional evidences based on interaction conservation, protein complex membership, and 3D domain contacts (iPfam, 3did). We do not include (spoke/matrix) binary interactions infered from pull-down experiments.
The Restriction Enzyme Database is a collection of information about restriction enzymes, methylases, the microorganisms from which they have been isolated, recognition sequences, cleavage sites, methylation specificity, the commercial availability of the enzymes, and references - both published and unpublished observations (dating back to 1952). REBASE is updated daily and is constantly expanding.
The Chemical Probes Portal is an online open access catalog of annotated small molecule inhibitors, agonists and other chemical tools for biological research and preclinical drug discovery. Annotations for are extensive and distinguish between activity in cells and model organisms.
The South African Marine Information Management System (MIMS) is an Open Archival Information System (OAIS) repository that plays a multifaceted role in archiving, publishing, and preserving marine-related datasets. As an IODE-accredited Associate Data Unit (ADU), MIMS serves as a national node for the IODE of the IOC of UNESCO. It archives and publishes collections and subsets of marine-related datasets for the National Department of Forestry, Fisheries, and the Environment (DFFE) and its regional partners. As an IOC member organization, DFFE is committed to supporting the long-term preservation and archival of marine and coastal data for South Africa and its regional partners, promoting open access to data, and encouraging scientific collaboration. Tasked with the long-term preservation of South Africa's marine and coastal data, MIMS functions as an institutional data repository. It provides primary access to all data collected by the DFFE Oceans and Coastal Research Directorate and acts as a trusted broker of scientific marine data for a wide range of South African institutions. MIMS hosts the IODE AFROBIS Node, an OBIS Node that coordinates and collates data management activities within the sub-Saharan African region. As part of the OBIS Steering Group, MIMS represents sub-Saharan Africa on issues around biological (biodiversity) data standards. It also facilitates data and metadata publishing for the region through the GBIF and OBIS networks. Operating on the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles, MIMS aligns its practices to maximize ocean data exchange and use while respecting the conditions stipulated by the Data Provider. By integrating various functions and commitments, MIMS stands as a vital component in the marine and coastal data landscape, fostering collaboration, standardization, and accessibility in alignment with international standards and regional needs.
The Database explores the interactions of chemicals and proteins. It integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins.