Abstract
The recent SmartGraph platform facilitates the execution of complex drug-discovery workflows
with ease in the network-pharmacology paradigm. However, at the time of its publication, we
identified the need for the development of an Application Programming Interface (API) that
could promote biomedical data integration and hypothesis generation in an automated manner.
This need was magnified at the time of the COVID-19 pandemic. This study addresses this
hiatus. Most functionalities of the original platform were implemented in the SmartGraph API.
We demonstrate that by using the API it is possible to transform the original semi-automated
workflow behind the Neo4COVID19 database to a fully automated one. The availability of the
SmartGraph API lends a significant improvement to the programmatic integration of networkpharmacology-
oriented knowledge graphs and analytics, as well as predictive functionalities and
workflows.
Supplementary materials
Title
Supporting Information for "SmartGraph API: Programmatic Knowledge Mining in Network- Pharmacology Setting"
Description
The Supporting Information contains results of the case-study workflow described in the main text, as well as details of upgrading the SmartGraph knowledge graph.
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Supplementary weblinks
Title
Source code repository of the SmartGraph API
Description
Source code repository of the SmartGraph API. Contains codes and instructions to deploy the SmartGraph API locally.
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Interactive (SWAGGER-based) documentation of the SmartGraph API
Description
Interactive (SWAGGER-based) documentation of the SmartGraph API. Includes use cases and examples as to how to use the SmartGraph API.
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SmartGraph Frontend - Web-Based User Interface
Description
SmartGraph Frontend - Web-Based User Interface.
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Instructions to reproduce the case-study workflow of the study.
Description
Instructions to reproduce the case-study workflow of the study.
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Source code repository of the case-study workflow.
Description
Source code repository of the case-study workflow.
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