Abbreviation: UP Taxonomy
How to cite this record FAIRsharing.org: UP Taxonomy; UniProt Taxonomy; DOI: https://doi.org/10.25504/FAIRsharing.wf28wm; Last edited: Feb. 22, 2018, 2:13 p.m.; Last accessed: Nov 14 2018 9:51 p.m.
Record added: April 21, 2015, 2:20 p.m.
Record updated: Sept. 22, 2016, 7:34 p.m. by The FAIRsharing Team.
No XSD schemas defined
Conditions of UseApplies to: Data use
No publications available
No guidelines defined
Models and Formats
No syntax standards defined
No identifier schema standards defined
APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.
The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka "UniProtKB/Swiss-Prot"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka "UniProtKB/TrEMBL").
Target Central Resource Database
TCRD is the central resource behind the Illuminating the Druggable Genome Knowledge Management Center (IDG-KMC). TCRD contains information about human targets, with special emphasis on four families of targets that are central to the NIH IDG initiative: GPCRs, kinases, ion channels and nuclear receptors. Olfactory GPCRs (oGPCRs) are treated as a separate family. A key aim of the KMC is to classify the development/druggability level of targets. The official public portal for TCRD is Pharos (pharos.nih.gov). Based on modern web design principles the Pharos interface provides facile access to all data types collected by the KMC. Given the complexity of the data surrounding any target, efficient and intuitive visualization has been a high priority, to enable users to quickly navigate & summarize search results and rapidly identify patterns. A critical feature of the interface is the ability to perform flexible search and subsequent drill down of search results. Underlying the interface is a RESTful API that provides programmatic access to all KMC data, allowing for easy consumption in user applications.
The Complex Portal is a manually curated, encyclopaedic resource of macromolecular complexes from a number of key model organisms. The majority of complexes are made up of proteins but may also include nucleic acids or small molecules. All data is freely available for search and download.
Translocatome is a database that collects and characterises manually curated and predicted translocating proteins from human cells. The prediction is made by a gradient boosting based machine learning algorithm (XGBoost), using highly curated positive and negative learning sets.
This record is not implemented by any policy.
This record is maintained by jerven
SIB Swiss Institute of Bioinformatics (Research institute)
Swiss Institute of Bioinformatics (SIB), Switzerland (Research institute)