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Projects: COVID-19 Disease Map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB)

Expertise: Biological knowledge managament, Systems Biology, Biocuration
Tools: CellDesigner, Cytoscape, Python, Shell scripting, NetworkX, Protein2GO
Postdoctoral researcher at Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg
Projects: COVID-19 Disease Map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB)
Projects: COVID-19 Disease Map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB)

Expertise: Machine Learning, Deep Learning, Modeling, Medical microbiology, Molecular Biology
Tools: Python, R, Matlab, Javascript, SBML, Dynamic modelling, microbiology techniques, Shell scripting
Projects: SulfoSys, FAIRDOM user meeting, Service to Milano-Bicocca with respect to their ATP-ROS model (Active NOW), Make Me My Model, Service to University of Lisbon (Portugal) with respect to their CFTR maturation model (Active NOW), Service to LCSB (Luxembourg) with respect to ROS management in Parkinson’s disease and cancer model (Active NOW), Service to URV Tarragona, Spain with respect to their Safety Assessment of Endocrine Disrupting Chemicals model (Active NOW), Service to Universidade Católica Portugues with respect to their Molecular Insight into Autism Spectrum Disorder (ASD) model (Active NOW), Service to Slovenia with respect to their Protease signaling network in neurodegeneration model (Active NOW), Service to University of Duisburg- Essen (Germany): with respect to their The Yin-Yang of Metabolism; Endometatoxicity (YYME) model (Active NOW), Service to Sheffield University (UK): with respect to Mitochondrial perfect adaptation model (Active NOW), Service to Sanquin (Amsterdam): with respect to Modelling of acute and chronic inflammation (Prospective), Service to Munich (Germany): with respect toCharged peptide to charged membrane binding model (Prospective), Training Hunfeld, EraCoBiotech 2 nd call proposal preparation, ROS detailed model for MSB manucript, Mechanism based modeling viral disease ( COVID-19 ) dynamics in human population, COVID-19 Disease Map, Modelling COVID-19 epidemics, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation
Institutions: University of Amsterdam, VU University Amsterdam, Infrastructure Systems Biology Europe, University of Luxembourg, Luxembourg Centre for Systems Biomedicine (LCSB)
Roles: Project Coordinator
I have modelling expertise in precise kinetic models of metabolism and signal transduction; metabolic control analysis, hierarchical regulation analysis, non-equilibrium dynamics, statistical mechanics, enzyme kinetics, flux balance analysis. Energy and carbohydrate metabolism in Archaea, Bacteria and human; ammonium assimilation in Bacteria; differential network-based drug design; cancer metabolic rewiring; cell cycle; genome wide metabolic map and inborn errors of metabolism; epigenetics.
Projects: HUMET Startup, COVID-19 Disease Map, C19DM-Neo4j
Institutions: European Institute for Systems Biology and Medicine, Luxembourg Centre for Systems Biomedicine (LCSB)

Expertise: Systems Biology, Systems Medicine, Disease Maps, Systems Biology Graphical Notation
Tools: SBGN, CellDesigner, SBGN-ED, Newt Editor
Projects: Kinetics on the move - Workshop 2016, COVID-19 Disease Map
Institutions: Kinetics on the move Workshop at HITS, Luxembourg Centre for Systems Biomedicine (LCSB)

Expertise: Data Management, Molecular Biology, Systems Biology, Curation
Tools: SBGN, CellDesigner, MIRIAM, SBML, Data Science
Scientific Project Manager at Luxembourg Centre for Systems Biomedicine, University of Luxembourg
http://lcsb.uni.lu
Projects: COVID-19 Disease Map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB)
Projects: COVID-19 Disease Map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB)

Roles: Postdoc
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
Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that
...
Programme: Model repository for M4 (Make Me My Model) clients of ISBE
Public web page: Not specified
Start date: 1st Mar 2020
End date: 24th Mar 2023
Organisms: Homo sapiens
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