Mock sample for your project: Written Questions Service API
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Written Questions Service API
Version: v1
Integrate third-party APIs faster by using "Written Questions Service API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
It also helps reduce your dependency on third-party APIs: no more accounts to create, API keys to provision, accesses to configure, unplanned downtime, etc.
Description
Data around written questions and answers, as well as written ministerial statements.
Other APIs by parliament.uk
Bills API
API to get and search for information regarding Bills, their stages, associated amendments and publications.
House of Commons Oral and Written Questions API
An API that allows querying all tabled oral and written questions, and motions for the House of Commons.
UK Parliament Search Service
Performs search on parliament.uk domain. Implements OpenSearch specification. Throttled at 10 requests per second per IP address.
Statutory Instruments API
parliament.uk
An API exposing details of the various types of Statutory Instruments laid before Parliament.
Other APIs in the same category
Bajaj Allianz Life Insurance Company Ltd
apisetu.gov.in
Policy Documents issued by Bajaj Allianz Life Insurance Co.Ltd (https://www.bajajallianzlife.com) can be pulled in user's DigiLocker account
United India Insurance Company Limited
apisetu.gov.in
United India Insurance Co. Ltd. is a Public Sector General Insurance Company incorporated in 1938, having its presence all over India providing risk cover to 1.74 Crore policyholders. General Insurance Policies such as Motor, Health, Personal Accident, Travel, e.t.c issued by United India Insurance Co. Ltd. (https://uiic.co.in/) are available to be downloaded by citizens of India to their DigiLocker account.
Institute of Company Secretaries of India
apisetu.gov.in
Institute of Company Secretaries of India is available on DigiLocker. ID Card is available for candidates to pull into their DigiLocker account. ICSI members can also pull their ACS certificates into their DigiLocker account.
eDistrict Kerala, Kerala
apisetu.gov.in
eDistrict Kerala (https://edistrict.kerala.gov.in/) is the online service delivery portal for Kerala State Govt. Certain documents issued by it (e.g. Residence, Income, Caste Certificates etc) are made available in citizens' DigiLocker accounts.
Agricultural Scientists Recruitment Board
apisetu.gov.in
Agricultural Scientist Recruitment Board (ASRB) is now integrated with DigiLocker to publish Digital Marksheet and results for the National Eligibility Test (NET-I) & (NET-II) for the years of 2019. Concerned participants and students can get this certificates on their DigiLocker account.
University Of Delhi
apisetu.gov.in
University of Delhi (http://www.du.ac.in/) is issuing Degree certificates through DigiLocker. These can be pulled by students into their DigiLocker accounts. Currently data for 2017 is available.
Himachal Pradesh Takniki Shiksha Board Dharamshala, Himachal Pradesh
apisetu.gov.in
Himachal Pradesh Takniki Shiksha Board, Dharamshala (http://www.hptechboard.com/) has made available Diploma Certificate in DigiLocker, which can be pulled by students into their DigiLocker account.
Punjab State eGovernance Society, Punjab
apisetu.gov.in
eDistrict Punjab (http://edistrict.punjabgovt.gov.in) is the online service delivery portal for Punjab State Govt. Certain documents issued by it (e.g. Residence, SC/ST, OBC Certificates etc) can be pulled into citizens' DigiLocker accounts.
CROssBAR Data API
ebi.ac.uk
About CROssBAR & data
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.
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.
Transport Department, Meghalaya
apisetu.gov.in
Driving License (DL) and Vehicle Registration Certificate (RC) of the State, as available on Parivahan Sewa (http://parivahan.co.in/) of Ministry of Road Transport and Highways, are available on DigiLocker. Citizens can pull these documents into their DigiLocker accounts.