Ahmed Hemedan
SEEK ID: https://fairdomhub.org/people/1730
Location:
Luxembourg
ORCID:
https://orcid.org/0000-0001-7403-181X
Joined: 20th May 2020
Expertise: Machine Learning, Deep Learning, Modeling, Medical microbiology, Molecular Biology
Tools: Python, R, Matlab, Javascript, SBML, Dynamic modelling, microbiology techniques, Shell scripting
Project roles
Project administrator
Their tagsRelated 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
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
Projects that do not fall under current programmes.
Projects: Manchester Institute for Biotechnology, ICYSB 2015 - International Practical Course in Systems Biology, iRhythmics, INBioPharm, EmPowerPutida, Systo models, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, Multiscale modelling of state transitions in the host-microbiome-brain network, Extremophiles metabolsim, NAD COMPARTMENTATION, Agro-ecological modelling, Bergen(Ziegler lab) project AF-NADase, NAMPT affinity, Stress granules, Modelling COVID-19 epidemics, Bio-crop, ORHIZON, Coastal Data, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, hybrid sequencing, HOST-PAR, BioCreative VII, Boolean modeling of Parkinson disease map, Orphan cytochrome P450 20a1 CRISPR/Cas9 mutants and neurobehavioral phenotypes in zebrafish, Selective Destruction in Ageing, Viral Metagenomic, Synthetic biology in Synechococcus for bioeconomy applications (SynEco), testproject, SDBV ephemeral data exchanges, Test project, The BeeProject, PHENET, LiceVault, EbN1 Systems Biology
Web page: Not specified
Programme: Independent Projects
Public web page: Not specified
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
Programme: Covid-19 disease map - Bioinformatics analysis and computational modelling
Public web page: Not specified
Start date: 1st May 2020
