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Drug Effect Database Gateway

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Abstract

With assistance from the SGCI, we have developed a gateway which acts as an interface to a database of side effects resulting from single and multiple drug exposures. The side effects are computed via deep learning models which are designed to be computed on the Open Science Grid (OSG). Since it is not feasible to create models for every possible combination of drugs, we have developed an interface, with assistance from the SGCI, where users can request a model to be computed for a specific combination of drugs not already in the database. This requires the creation of a web application which automatically generates and submits a job to the OSG, resulting in a deep learning model being computed. Additionally, a mechanism has been developed to return the results of the model to store permanently in the database for future lookup.

Frameworks

Python Flask, Agave API job management

Languages

Python, Javascript

Email

rv2368@cumc.columbia.edu

Site

Frameworks

Python Flask, Agave API job management

Languages

Python, Javascript

Sponsors

Software

agave platform: https://agaveapi.co/

Users

cyoun

Cite this work

Researchers should cite this work as follows:

  • (2019), "Drug Effect Database Gateway," https://sciencegateways.org/resources/drugeffectdatabasegateway.

    BibTex | EndNote

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