Mock sample for your project: DigitalNZ API

A free & open API for FIGI discovery.

Certificates issued under Pradhan Mantri Gramin Digital Saksharta Abhiyaan (PMGDISHA) (https://www.pmgdisha.in) scheme enrolled at authorised Training Centres/ CSCs are made available to citizens in their DigiLocker accounts.

Gujarat Vidyapith, Ahmedabad (http://www.gujaratvidyapith.org/) is issuing Degree certificates through DigiLocker. These can be pulled by students into their DigiLocker accounts. Currently, data for the year 2019 is made available by Gujarat Vidyapith.

Birth and Death certificates from 1934-till date, as provided by Greater Chennai Corporation (http://www.chennaicorporation.gov.in), can be downloaded in citizen's DigiLocker account.

Himachal Pradesh Swasthya Bima Yojna Society (http://admis.hp.nic.in/epraman/https://www.hpsbys.in/) is the online service delivery portal by Himachal Pradesh Govt. Digital Health card is available in DigiLocker. Aslo can be pulled into citizens' DigiLocker accounts.

APIs provided by Cholamandalam MS General Insurance Company Ltd..

Car, Two wheeler and Commercial Vehicle insurance policies issued by GoDigit (https://www.godigit.com), a General Insurance company, can be fetched by Citizens in their DigiLocker accounts.

Degree Certificates of various courses issued by Chitkara University can be downloaded in citizen's DigiLocker account.

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.

Free API documentation to get Real time corona virus stats

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.

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 “/proteins” 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 “/targets” API endpoint to obtain the ‘targetchemblid’s of these proteins.
From the collection of targetchemblids collected from step 2 above, we query “/activities” API endpoint with pChEMBL value >=6, to obtain the ’moleculechemblid’s 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 “/drugs” API endpoint that targets our proteins.
From the collection of ’moleculechemblid’s obtained in step3, we query “/molecules” endpoint to get the compounds that are interacting with the genes/proteins belonging to the “WNT ligand biogenesis and trafficking” pathway.