Strain details
Name | Provider name | Provider's strain ID | Genotypes | Phenotypes | Synonym | Comments | Based on |
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Related items
This page is dedicated to the bioinformatics analysis and computational modelling related to Covid-19 disease map pathways.
Projects: Covid-19 Interferon pathway modelling and analysis
Web page: Not specified
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.
Projects: C19DM-Neo4j
Web page: Not specified
nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...
Projects: COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data
Web page: https://www.nfdi4health.de
The Disease Maps Project is designed as a large-scale community effort. It is a network of groups that work together in order to better understand disease mechanisms. The project exchanges best practices, share information, develop tools to make it easier for all the involved groups to achieve their goals.
Projects: COVID-19 Disease Map
Web page: https://disease-maps.org
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
Interactions of Nsp4 and Nsp6 proteins of SARS-CoV-2.
Creators: Arnau Montagud, Miguel Ponce-de-Leon
Submitter: Marek Ostaszewski
Model type: Graphical model
Model format: SBML
Environment: Not specified
Organism: Severe acute respiratory syndrome coronavirus 2
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Pathway: Assembly of the Replication Transcription Complex and Transcription
Creators: Hanna Borlinghaus, Tobias Czauderna, Falk Schreiber
Submitter: Marek Ostaszewski
Model type: Graphical model
Model format: SBGN-ML PD
Environment: Not specified
Organism: Severe acute respiratory syndrome coronavirus 2
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
The novel coronavirus (SARS-CoV-2) currently spreads worldwide, causing the disease COVID-19. The number of infections increases daily, without any approved antiviral therapy. The recently released viral nucleotide sequence enables the identification of therapeutic targets, e.g., by analyzing integrated human-virus metabolic models. Investigations of changed metabolic processes after virus infections and the effect of knock-outs on the host and the virus can reveal new potential targets. Results: ...
Creators: Alina Renz, Andreas Dräger
Submitter: Martin Golebiewski
Model type: Not specified
Model format: SBML
Environment: Not specified
Organism: Severe acute respiratory syndrome coronavirus 2
Investigations: No Investigations
Studies: No Studies
Assays: No Assays