UniProtKB XML Format
How to cite this record FAIRsharing.org: UniProtKB XML Format; UniProtKB XML Format; DOI: https://doi.org/10.25504/FAIRsharing.zj850n; Last edited: March 15, 2018, 11:55 a.m.; Last accessed: Nov 21 2018 7:39 p.m.
Record updated: March 15, 2018, 10:19 a.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.zj850n' by 'The FAIRsharing Team' at 10:19, 15 Mar 2018 (approved): 'miriam_url' has been modified: Before: None After:
Edits to 'https://fairsharing.org/FAIRsharing.zj850n' by 'The FAIRsharing Team' at 21:32, 23 Oct 2016 (approved): 'description' has been modified: Before: "UniProtKB XML Format" is a standard, specialising in the fields described under "scope and data types", below. Until this entry is claimed, more information on this project can be found at http://www.uniprot.org/docs/uniprot.xsd. This text was generated automatically. If you work on the project responsible for "UniProtKB XML Format" then please consider helping us by claiming this record and updating it appropriately. After: XML Schema definition for the UniProtKB XML format.
No guidelines defined
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Models and Formats
No identifier schema standards defined
The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.
Dragon Antimicrobial Peptide Database
Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.
Eukaryotic Linear Motifs
This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.
MIPModDB: A Central Resource for the Superfamily of Major Intrinsic Proteins
This is a database of comparative protein structure models of MIP (Major Intrinsic Protein) family of proteins. The nearly completed sets of MIPs have been identified from the completed genome sequence of organisms available at NCBI. The structural models of MIP proteins were created by defined protocol. The database aims to provide key information of MIPs in particular based on sequence as well as structures. This will further help to decipher the function of uncharacterized MIPs.
Protein-Chemical Structural Interactions
Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.
UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.
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").
FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Integrating data makes it possible to run sophisticated data mining queries that span domains of biological knowledge.
A database of protein disorder and mobility annotations. MobiDB was designed to offer a centralized resource for annotations of intrinsic protein disorder. The database features three levels of annotation: manually curated, indirect and predicted. Manually curated data is extracted from the DisProt database. Indirect data is inferred from PDB structures that are considered an indication of intrinsic disorder. The 10 predictors currently included (three ESpritz flavors, two IUPred flavors, two DisEMBL flavors, GlobPlot, VSL2b and JRONN) enable MobiDB to provide disorder annotations for every protein in absence of more reliable data. The new version also features a consensus annotation and classification for long disordered regions. In order to complement the disorder annotations, MobiDB features additional annotations from external sources. Annotations from the UniProt database include post-translational modifications and linear motifs. Pfam annotations are displayed in graphical form and are link-enabled, allowing the user to visit the corresponding Pfam page for further information. Experimental protein–protein interactions are also classified for disorder content.
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