SmartGraph API: Programmatic Knowledge Mining in Network- Pharmacology Setting

17 January 2024, Version 1

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.

Keywords

network pharmacology
SmartGraph
API
integration
hypothesis generation
bioacivity prediction

Supplementary materials

Title
Description
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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

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