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This project bundles information about COVID-19 related studies and tools in Germany. It intends to provide an information hub for the different initiatives, their aims, their processes, standards and study protocols, as well as their available data and metadata. It is initiated by the German National Research Data Infrastructure for Personal Health Data (nfdi4health), a consortium that plans to establish a concept for a federated research data infrastructure for personal health data in Germany. ...
We used the Neo4j graph database approach to integrate the content of the COVID-19 Disease Map diagrams to efficiently access, query and manage the content of these diagrams and enable communication with external resources, such as Reactome and Recon, that already provide support via a similar environment. This work complements the efforts on exploring COVID-19 disease mechanisms within the COVID-19 Disease Map Project.
Programme: C19DM-Neo4j
Public web page: Not specified
Start date: 1st Sep 2020
End date: 31st Dec 2022
Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.
Programme: Disease Maps
Public web page: http://doi.org/10.17881/covid19-disease-map
In the CoVIDD project, we aim at unravelling interactions of viral proteins with the cellular factors and the host pathways involved in SARS-CoV-2 infection by a combination of modern technologies, genomics, proteomics, structural biology, chemoinformatics and drug discovery. To effectively search for drugs that could modify viral replication we need to know what human proteins and viral proteins interact. Thus, a comprehensive virus-host protein interaction network will help us to identify the ...
Programme: This Project is not associated with a Programme
Public web page: Not specified
Programme: Covid-19 disease map - Bioinformatics analysis and computational modelling
Public web page: Not specified
Start date: 1st May 2020