The Biomedical Knowledge Miner (BiKMi) provides tools to access and validate knowledge encompassing all of the latest information pertaining to COVID-19. Our goal is to integrate as much relevant information as we can into a single, comprehensive model whereby users are able to investigate all-known molecular interactions pertaining to SARS-CoV-2 as well as possible therapeutic routes.
The department of Bioinformatics at the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) seeks to reshape scientific knowledge into a single, computable repository despite the fact that this knowledge is stored in a variety of formats, databases, and sources. To ensure that our knowledge graph contains the latest findings, chosen publications were manually curated and their contents converted in Biological Expression Language (BEL) statements. These statements are then parsed and used to build an interactive knowledge graph by the in-house developed software package e(BE:L). Information provided here includes also includes publicly available data that was reformatted and added to our model.