Electron Transport Chain (COVID-19 Disease Map) Version 3
The mechanisms of the Electron Transport Chain under COVID-19, including Nsp7, Nsp8 and Orf9c
SEEK ID: https://fairdomhub.org/models/719?version=3
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ETC_stable.xml.png (PNG image - 398 KB)
Organism: Homo sapiens
Model type: Graphical model
Model format: SBML
Execution or visualisation environment: Not specified
Model image: (Click on the image to zoom) (Original)
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Created: 4th May 2020 at 08:41
Last updated: 17th Aug 2020 at 15:02
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Version 3 (latest) Created 17th Aug 2020 at 15:02 by Marek Ostaszewski
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Scientific Project Manager at Luxembourg Centre for Systems Biomedicine, University of Luxembourg http://lcsb.uni.lu
Projects: COVID-19 Disease Map, Molecular characterization and angiogenic properties of extracellular vesicles in healthy and preeclamptic amniotic fluid, Overexpression of microRNAs miR-25-3p, miR-185-5p and miR-132-3p in Late Onset Fetal Growth Restriction, Validation of Results and Study of the Biochemical Pathways Involved, Comparative Proteome Profile of Placental Sub-anatomical regions, The deregulated interplay of complement system and antioxidant activity as a driver of adverse pregnancy outcomes
Institutions: University of Rostock, Instituto de Investigación Sanitaria La Fe
https://orcid.org/0000-0002-0034-7755
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
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
