Reference : COVID19 Disease Map, a computational knowledge repository of virus-host interaction m...
Scientific journals : Article
Life sciences : Biotechnology
Life sciences : Multidisciplinary, general & others
Human health sciences : Immunology & infectious disease
Human health sciences : Multidisciplinary, general & others
Systems Biomedicine
http://hdl.handle.net/10993/48746
COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.
English
Ostaszewski, Marek mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Niarakis, Anna [> >]
Mazein, Alexander mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Kuperstein, Inna [> >]
Phair, Robert [> >]
Orta-Resendiz, Aurelio [> >]
Singh, Vidisha [> >]
Aghamiri, Sara Sadat [> >]
Acencio, Marcio Luis mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Glaab, Enrico mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Biomedical Data Science]
Ruepp, Andreas [> >]
Fobo, Gisela [> >]
Montrone, Corinna [> >]
Brauner, Barbara [> >]
Frishman, Goar [> >]
Monraz Gómez, Luis Cristóbal [> >]
Somers, Julia [> >]
Hoch, Matti [> >]
Kumar Gupta, Shailendra [> >]
Scheel, Julia [> >]
Borlinghaus, Hanna [> >]
Czauderna, Tobias [> >]
Schreiber, Falk [> >]
Montagud, Arnau [> >]
Ponce de Leon, Miguel [> >]
Funahashi, Akira [> >]
Hiki, Yusuke [> >]
Hiroi, Noriko [> >]
Yamada, Takahiro G. [> >]
Dräger, Andreas [> >]
Renz, Alina [> >]
Naveez, Muhammad [> >]
Bocskei, Zsolt [> >]
Messina, Francesco [> >]
Börnigen, Daniela [> >]
Fergusson, Liam [> >]
Conti, Marta [> >]
Rameil, Marius [> >]
Nakonecnij, Vanessa [> >]
Vanhoefer, Jakob [> >]
Schmiester, Leonard [> >]
Wang, Muying [> >]
Ackerman, Emily E. [> >]
Shoemaker, Jason E. [> >]
Zucker, Jeremy [> >]
Oxford, Kristie [> >]
Teuton, Jeremy [> >]
Kocakaya, Ebru [> >]
Summak, Gökçe Yağmur [> >]
Hanspers, Kristina [> >]
Kutmon, Martina [> >]
Coort, Susan [> >]
Eijssen, Lars [> >]
Ehrhart, Friederike [> >]
Rex, Devasahayam Arokia Balaya [> >]
Slenter, Denise [> >]
Martens, Marvin [> >]
Pham, Nhung [> >]
Haw, Robin [> >]
Jassal, Bijay [> >]
Matthews, Lisa [> >]
Orlic-Milacic, Marija [> >]
Senff Ribeiro, Andrea [> >]
Rothfels, Karen [> >]
Shamovsky, Veronica [> >]
Stephan, Ralf [> >]
Sevilla, Cristoffer [> >]
Varusai, Thawfeek [> >]
Ravel, Jean-Marie [> >]
Fraser, Rupsha [> >]
Ortseifen, Vera [> >]
Marchesi, Silvia [> >]
Gawron, Piotr mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Smula, Ewa mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Heirendt, Laurent mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Satagopam, Venkata mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Wu, Guanming [> >]
Riutta, Anders [> >]
Golebiewski, Martin [> >]
Owen, Stuart [> >]
Goble, Carole [> >]
Hu, Xiaoming [> >]
Overall, Rupert W. [> >]
Maier, Dieter [> >]
Bauch, Angela [> >]
Gyori, Benjamin M. [> >]
Bachman, John A. [> >]
Vega, Carlos [> >]
Groues, Valentin mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Vazquez, Miguel [> >]
Porras, Pablo [> >]
Licata, Luana [> >]
Iannuccelli, Marta [> >]
Sacco, Francesca [> >]
Nesterova, Anastasia [> >]
Yuryev, Anton [> >]
de Waard, Anita [> >]
Turei, Denes [> >]
Luna, Augustin [> >]
Babur, Ozgun [> >]
Soliman, Sylvain [> >]
Valdeolivas, Alberto [> >]
Esteban-Medina, Marina [> >]
Peña-Chilet, Maria [> >]
Rian, Kinza [> >]
Helikar, Tomáš [> >]
Puniya, Bhanwar Lal [> >]
Modos, Dezso [> >]
Treveil, Agatha [> >]
Olbei, Marton [> >]
De Meulder, Bertrand [> >]
Ballereau, Stephane [> >]
Dugourd, Aurélien [> >]
Naldi, Aurélien [> >]
Noël, Vincent [> >]
Calzone, Laurence [> >]
Sander, Chris [> >]
Demir, Emek [> >]
Korcsmaros, Tamas [> >]
Freeman, Tom C. [> >]
Augé, Franck [> >]
Beckmann, Jacques S. [> >]
Hasenauer, Jan [> >]
Wolkenhauer, Olaf [> >]
Wilighagen, Egon L. [> >]
Pico, Alexander R. [> >]
Evelo, Chris T. [> >]
Gillespie, Marc E. [> >]
Stein, Lincoln D. [> >]
Hermjakob, Henning [> >]
D'Eustachio, Peter [> >]
Saez-Rodriguez, Julio [> >]
Dopazo, Joaquin [> >]
Valencia, Alfonso [> >]
Kitano, Hiroaki [> >]
Barillot, Emmanuel [> >]
Auffray, Charles [> >]
Balling, Rudi [> >]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
2021
Molecular systems biology
17
10
e10387
Yes (verified by ORBilu)
International
1744-4292
1744-4292
[en] computable knowledge repository ; large-scale biocuration ; omics data analysis ; open access community effort ; systems biomedicine
[en] We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large-scale community effort to build an open access, interoperable and computable repository of COVID-19 molecular mechanisms. The COVID-19 Disease Map (C19DMap) is a graphical, interactive representation of disease-relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph-based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS-CoV-2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID-19 or similar pandemics in the long-term perspective.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Fonds National de la Recherche - FnR
Covid-19 Disease Map
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/48746
10.15252/msb.202110387
https://doi.org/10.15252/msb.202110387
The original publication is available at https://doi.org/10.15252/msb.202110387
FnR ; FNR14715687 > Enrico Glaab > CovScreen > Combined In Silico Molecular Docking And In Vitro Experimental Assessment Of Drug Repurposing Candidates For Covid-19 > 01/06/2020 > 30/11/2020 > 2020

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
msb.202110387.pdfPublisher postprint4.57 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.