Mock sample for your project: CORE API v2
Integrate with "CORE API v2" from core.ac.uk in no time with Mockoon's ready to use mock sample
CORE API v2
core.ac.uk
Version: 2.0
Speed up your application development by using "CORE API v2" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
Description
You can use the CORE API to access the
resources harvested and enriched by CORE. If you encounter any problems with the API, please report them to us.
Overview
The API is organised by resource type. The resources are articles,
journals and repositories and are represented using JSON data format. Furthermore,
each resource has a list of methods. The API also provides two global methods for accessing all resources at once.
Response format
Response for each query contains two fields: status and data.
In case of an error status, the data field is empty. The data field contains a single object
in case the request is for a specific identifier (e.g. CORE ID, CORE repository ID, etc.), or
contains a list of objects, for example for search queries. In case of batch requests, the response
is an array of objects, each of which contains its own status and data fields.
For search queries the response contains an additional field totalHits, which is the
total number of items which match the search criteria.
Search query syntax
Complex search queries can be used in all of the API search methods.
The query can be a simple string or it can be built using terms and operators described in Elasticsearch
documentation.
The usable field names are title, description, fullText,
authors, publisher, repositories.id, repositories.name,
doi, oai, identifiers (which is a list of article identifiers including OAI, URL, etc.), language.name
and year. Some example queries:
title:psychology and language.name:English
repositories.id:86 AND year:2014
identifiers:"oai:aura.abdn.ac.uk:2164/3837" OR identifiers:"oai:aura.abdn.ac.uk:2164/3843"
doi:"10.1186/1471-2458-6-309"
Retrieving the latest Articles
You can retrieve the harvested items since specific dates using the following queries:
repositoryDocument.metadataUpdated:>2017-02-10
repositoryDocument.metadataUpdated:>2017-03-01 AND repositoryDocument.metadataUpdated:
Sort order
For search queries, the results are ordered by relevance score. For batch
requests, the results are retrieved in the order of the requests.
Parameters
The API methods allow different parameters to be passed. Additionally, there is an API key parameter which is common to all API methods. For all API methods
the API key can be provided either as a query parameter or in the request header. If the API key
is not provided, the API will return HTTP 401 error. You can register for an API key here.
API methods
Other APIs in the same category
CROssBAR Data API
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
CROssBAR is a comprehensive system that integrates large-scale biomedical data from various resources e.g UniProt, ChEMBL, Drugbank, EFO, HPO, InterPro & PubChem and stores them in a new NoSQL database, enrich these data with deep learning based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to the user via easy to interpret, interactive and heterogeneous knowledge graphs.
CROssBAR platform exposes a set of 12 endpoints to query data stored in the CROssBAR database. These endpoints help the user to find data of interest using different parameters provided by the API endpoint.
For example,
https://www.ebi.ac.uk/tools/crossbar/proteins?accession=A0A023GRW5 -> will provide protein information about accession 'A0A023GRW5' including its interactions, functions, cross-references, variations and more.
https://www.ebi.ac.uk/tools/crossbar/activities?moleculeChemblId=CHEMBL465983 -> will provide ChEMBL bio-interactions related information including targets and bio-activity measurements associated with molecule chembl id 'CHEMBL465983'
Knowledge graphs
Another use case of CROssBAR's API endpoints is in building knowledge graphs. These endpoints can be weaved together (output from one API endpoint fed as input to another API endpoint) programmatically to link nodes like protein, disease, drugs etc. as nodes of the graph. The endpoints are designed to be independent from each other which allows users the flexibility to drive biological networks from any facet e.g drug-centric, disease-centric, gene-centric etc. Our service for knowledge graph construction is available at https://crossbar.kansil.org.
An example for the part of the background queries on the CROssBAR API during the construction of a knowledge graph,
(with the aim of keeping the example simple, we have only included the processes related to pathways, genes/proteins and drugs/compounds)
In this example, we would like to find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome pathway annotations).
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Find bio-active compounds (with a pChEMBL value threshold of at least 6.0) & drugs targeting all proteins belonging to "WNT ligand biogenesis and trafficking" pathway (based on Reactome annotations)
This can be achieved by using endpoints listed on this swagger documentation as illustrated in following steps-
Get all proteins from â/proteinsâ API endpoint which have a reactome pathway name equal to "WNT ligand biogenesis and trafficking".
From the collection of uniprot protein accessions collected from step 1 above, we query â/targetsâ API endpoint to obtain the âtargetchemblidâs of these proteins.
From the collection of targetchemblids collected from step 2 above, we query â/activitiesâ API endpoint with pChEMBL value >=6, to obtain the âmoleculechemblidâs of the molecules that we need.
From the collection of uniprot protein accessions collected from step 1 above, we find out Drug names and ids from the â/drugsâ API endpoint that targets our proteins.
From the collection of âmoleculechemblidâs obtained in step3, we query â/moleculesâ endpoint to get the compounds that are interacting with the genes/proteins belonging to the âWNT ligand biogenesis and traffickingâ pathway.