UniProt protein sequences
E200557
UniProt protein sequences are a comprehensive, curated collection of protein sequence data that serves as a primary reference resource for protein information in biological and biomedical research.
All labels observed (3)
| Label | Occurrences |
|---|---|
| UniProt | 2 |
| UniProt protein sequences canonical | 1 |
| UniProt website | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1793148 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UniProt protein sequences Context triple: [AlphaFold, dataSource, UniProt protein sequences]
-
A.
NCBI E-utilities API
The NCBI E-utilities API is a set of programmatic web services that allow automated querying, retrieval, and integration of data from NCBI databases such as PubMed.
-
B.
National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
-
C.
Entrez system
The Entrez system is an integrated search and retrieval platform from the National Center for Biotechnology Information (NCBI) that provides unified access to a wide range of biomedical databases, including literature, sequences, genomes, and more.
-
D.
AlphaFold
AlphaFold is an artificial intelligence system developed by DeepMind that predicts protein 3D structures from amino acid sequences with unprecedented accuracy, revolutionizing structural biology.
-
E.
NCBI Bookshelf
NCBI Bookshelf is a free online resource from the National Center for Biotechnology Information that provides access to a wide range of biomedical books, reports, and other full-text scholarly literature.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UniProt protein sequences Target entity description: UniProt protein sequences are a comprehensive, curated collection of protein sequence data that serves as a primary reference resource for protein information in biological and biomedical research.
-
A.
NCBI E-utilities API
The NCBI E-utilities API is a set of programmatic web services that allow automated querying, retrieval, and integration of data from NCBI databases such as PubMed.
-
B.
National Center for Biotechnology Information
The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
-
C.
Entrez system
The Entrez system is an integrated search and retrieval platform from the National Center for Biotechnology Information (NCBI) that provides unified access to a wide range of biomedical databases, including literature, sequences, genomes, and more.
-
D.
AlphaFold
AlphaFold is an artificial intelligence system developed by DeepMind that predicts protein 3D structures from amino acid sequences with unprecedented accuracy, revolutionizing structural biology.
-
E.
NCBI Bookshelf
NCBI Bookshelf is a free online resource from the National Center for Biotechnology Information that provides access to a wide range of biomedical books, reports, and other full-text scholarly literature.
- F. None of above. chosen
Statements (62)
| Predicate | Object |
|---|---|
| instanceOf | protein sequence database resource ⓘ |
| accessibleVia |
FTP download
ⓘ
UniProt REST API ⓘ UniProt protein sequences self-linksurface differs ⓘ
surface form:
UniProt website
|
| curatedBy | UniProt Consortium ⓘ |
| describedBy | amino acid sequences ⓘ |
| format |
FASTA
ⓘ
UniProt flat file ⓘ XML ⓘ tab-delimited ⓘ |
| hasProperty |
computationally annotated subset
ⓘ
cross-references to other databases ⓘ disease association annotation ⓘ domain annotation ⓘ evidence codes for annotations ⓘ functional annotation ⓘ manually curated subset ⓘ natural variant annotation ⓘ post-translational modification annotation ⓘ sequence features ⓘ stable identifiers ⓘ subcellular localization annotation ⓘ taxonomic information ⓘ versioned records ⓘ |
| linkedTo |
Ensembl gene records
ⓘ
Gene Ontology terms ⓘ InterPro entries ⓘ KEGG pathways ⓘ RefSeq ⓘ
surface form:
NCBI RefSeq proteins
PDB protein structures ⓘ Pfam domains ⓘ Reactome pathways ⓘ |
| maintainedBy |
European Bioinformatics Institute
ⓘ
Protein Information Resource ⓘ Swiss Institute of Bioinformatics ⓘ |
| organizedIn |
UniParc
ⓘ
UniProtKB/Swiss-Prot ⓘ UniProtKB/TrEMBL ⓘ UniRef ⓘ |
| partOf |
UniProt protein sequences
self-linksurface differs
ⓘ
surface form:
UniProt
UniProt Knowledgebase ⓘ |
| scope |
human proteins
ⓘ
microbial proteins ⓘ model organisms ⓘ multiple species ⓘ viral proteins ⓘ |
| usedFor |
biological research
ⓘ
biomedical research ⓘ comparative genomics ⓘ drug target identification ⓘ enzyme classification ⓘ functional genomics ⓘ multiple sequence alignment ⓘ orthology inference ⓘ pathway mapping ⓘ phylogenetic analysis ⓘ protein annotation ⓘ protein function prediction ⓘ protein structure prediction ⓘ proteomics analysis ⓘ sequence similarity searches ⓘ variant effect interpretation ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: UniProt protein sequences Description of subject: UniProt protein sequences are a comprehensive, curated collection of protein sequence data that serves as a primary reference resource for protein information in biological and biomedical research.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
UniProt
this entity surface form:
UniProt
this entity surface form:
UniProt website