Reproducible Knowledge Graph workflows for embedding chemical entities and associated biology of diseases: A use case in Mpox

3
Not scheduled
20m
Von-Melle-Park 4

Von-Melle-Park 4

Poster

Description

The outbreak of Mpox virus (MPXV) infection in May 2022 is declared a global health emergency by WHO. The MPXV pathophysiology and its underlying mechanisms are not yet understood. Likewise, the knowledge of biochemicals and drugs used against MPXV and their downstream effects is sparse. Using systems biology approaches, we used Knowledge Graph (KG) representations to depict chemical and biological aspects of MPXV. We collected and rationally assembled biological study results, assays, drug candidates, and pre-clinical evidence to form a dynamic and comprehensive network. The KG is compliant with FAIR principles allowing seamless transformation and integration to/with other formats and infrastructures. Its implementation in Mpox was the first usecase of this workflow and can be used for other infectious diseases.

Keywords

knowledge graph
mpox
infectious disease

Find me @ my poster Reagon Karki

Primary authors

Reagon Karki (Fraunhofer Institute of Translation Medicine and Pharmacology) Andrea Zaliani (Fraunhofer ITMP ScreeningPort) Yojana Gadiya (Fraunhofer ITMP ScreeningPort) Philip Gribbon (Fraunhofer ITMP ScreeningPort)

Presentation materials