Mock sample for your project: AIIMS Mangalagiri API

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AIIMS Mangalagiri

apisetu.gov.in

Version: 3.0.0


Use this API in your project

Speed up your application development by using "AIIMS Mangalagiri API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and allow you to stop relying on an external API to get the job done. No more API keys to provision, accesses to configure or unplanned downtime, just work.
Enhance your development infrastructure by mocking third party APIs during integrating testing.

Description

AIIMS Mangalagiri is one of the AIIMS healthcare institutes being established by the Ministry of Health & Family Welfare, Government of India.

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National Institute of Open Schooling

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Bajaj Allianz General Insurance Company Ltd. (BAGIC)

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Indian Navy (INS Valsura)

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Civil Supplies Department, Kerala

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Department of Agricultural Marketing, Karnataka

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Department of Food, Public Distribution & Consumer Affairs (PDS), Jharkhand

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State Transport Department, Telangana

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Manav Rachna International Institute of Research & Studies

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Tata AIG General Insurance Company Ltd.

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Aviation Radiation API

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Our atmosphere protects us from a hostile space radiation environment comprising high energy particles of solar and intergalactic origin. Solar radiation is significant during unpredictable and short lived solar flares and coronal mass ejections (CMEs); however, galactic cosmic radiation (GCR) is omnipresent. The GCR intensity varies with latitude, longitude, and time due to effects of solar activity on the interplanetary magnetic field, as well as the Earth's magnetic field. Space radiation collides with gases in the atmosphere, leading to a complex shower of high energy radiation, the intensity and composition of which varies spatially and temporally. Excessive exposure to radiation can damage DNA and lead to long-term health effects such as an increased risk of cancer. Resulting radiation levels at commercial aircraft altitudes are greater than at sea level due. Aircrew are classified as radiation workers in some countries; however, planning to limit their exposure, and monitoring, is generally lacking. Both real-time measurements and predictive models of radiation in the atmosphere are important to mitigate the radiation risk crew.
We host a RESTful API to models of cosmic ray induced ionising radiation in the atmosphere. The PARMA or CARI7 endpoints can be used to calculate Effective Dose or Ambient Dose Equivalent at a point.
The Route Dose API calculates the same quantities along a great circle route between two airports using CARI7.
API requests must contain a key "API-Key" in the header (see code samples). Obtain a key from here.
Help us improve the quality of our web APIs by completing our 2 minute survey here.
Amentum Pty Ltd is not responsible nor liable for any loss or damage of any sort incurred as a result of using the API.
Copyright Amentum Pty Ltd 2021.

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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 “/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.

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apisetu.gov.in
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