COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models

The COVID-19 pandemic has changed life across the globe. In January 2020, little was known about SARS-COV-2, but the vastly increasing number of infections and the uncontrolled spreading demanded fast medical action. Within a year, over 4 million publications relating to COVID-19 appeared in the scientific literature. Additionally, patents have been registered, ontologies have been extended, simulation studies for prediction of disease spread and underlying bioinformatics mechanisms have been built, and health studies have been designed. To support the exploration of COVID-19 data, the CovidGraph project was initiated as a non-profit, collaborative and open project driven by researchers, software developers, data scientists and medical professionals. In this article we outline the history, goals and scope of CovidGraph. Using the example of computational biology models, we show how additional resources can be integrated with the knowledge graph to extend the scope of the CovidGraph, for example, to systems biology data. © 2021 CEUR-WS. All rights reserved.