RT Journal Article
T1 COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.
A1 Ostaszewski, Marek
A1 Niarakis, Anna
A1 Mazein, Alexander
A1 Kuperstein, Inna
A1 Phair, Robert
A1 Orta-Resendiz, Aurelio
A1 Singh, Vidisha
A1 Aghamiri, Sara Sadat
A1 Acencio, Marcio Luis
A1 Glaab, Enrico
A1 Ruepp, Andreas
A1 Fobo, Gisela
A1 Montrone, Corinna
A1 Brauner, Barbara
A1 Frishman, Goar
A1 Monraz-Gomez, Luis Cristobal
A1 Somers, Julia
A1 Hoch, Matti
A1 Kumar-Gupta, Shailendra
A1 Scheel, Julia
A1 Borlinghaus, Hanna
A1 Czauderna, Tobias
A1 Schreiber, Falk
A1 Montagud, Arnau
A1 Ponce-de-Leon, Miguel
A1 Funahashi, Akira
A1 Hiki, Yusuke
A1 Hiroi, Noriko
A1 Yamada, Takahiro G
A1 Dräger, Andreas
A1 Renz, Alina
A1 Naveez, Muhammad
A1 Bocskei, Zsolt
A1 Messina, Francesco
A1 Börnigen, Daniela
A1 Fergusson, Liam
A1 Conti, Marta
A1 Rameil, Marius
A1 Nakonecnij, Vanessa
A1 Vanhoefer, Jakob
A1 Schmiester, Leonard
A1 Wang, Muying
A1 Ackerman, Emily E
A1 Shoemaker, Jason E
A1 Zucker, Jeremy
A1 Oxford, Kristie
A1 Teuton, Jeremy
A1 Kocakaya, Ebru
A1 Summak, Gökçe Yağmur
A1 Hanspers, Kristina
A1 Kutmon, Martina
A1 Coort, Susan
A1 Eijssen, Lars
A1 Ehrhart, Friederike
A1 Balaya-Rex, Devasahayam Arokia
A1 Slenter, Denise
A1 Martens, Marvin
A1 Pham, Nhung
A1 Haw, Robin
A1 Jassal, Bijay
A1 Matthews, Lisa
A1 Orlic-Milacic, Marija
A1 Senff-Ribeiro, Andrea
A1 Rothfels, Karen
A1 Shamovsky, Veronica
A1 Stephan, Ralf
A1 Sevilla, Cristoffer
A1 Varusai, Thawfeek
A1 Ravel, Jean-Marie
A1 Fraser, Rupsha
A1 Ortseifen, Vera
A1 Marchesi, Silvia
A1 Gawron, Piotr
A1 Smula, Ewa
A1 Heirendt, Laurent
A1 Satagopam, Venkata
A1 Wu, Guanming
A1 Riutta, Anders
A1 Golebiewski, Martin
A1 Owen, Stuart
A1 Goble, Carole
A1 Hu, Xiaoming
A1 Overall, Rupert W
A1 Maier, Dieter
A1 Bauch, Angela
A1 Gyori, Benjamin M
A1 Bachman, John A
A1 Vega, Carlos
A1 Grouès, Valentin
A1 Vazquez, Miguel
A1 Porras, Pablo
A1 Licata, Luana
A1 Iannuccelli, Marta
A1 Sacco, Francesca
A1 Nesterova, Anastasia
A1 Yuryev, Anton
A1 de-Waard, Anita
A1 Turei, Denes
A1 Luna, Augustin
A1 Babur, Ozgun
A1 Soliman, Sylvain
A1 Valdeolivas, Alberto
A1 Esteban-Medina, Marina
A1 Peña-Chilet, Maria
A1 Rian, Kinza
A1 Helikar, Tomáš
A1 Puniya, Bhanwar Lal
A1 Modos, Dezso
A1 Treveil, Agatha
A1 Olbei, Marton
A1 De-Meulder, Bertrand
A1 Ballereau, Stephane
A1 Dugourd, Aurelien
A1 Naldi, Aurelien
A1 Noël, Vincent
A1 Calzone, Laurence
A1 Sander, Chris
A1 Demir, Emek
A1 Korcsmaros, Tamas
A1 Freeman, Tom C
A1 Auge, Franck
A1 Beckmann, Jacques S
A1 Hasenauer, Jan
A1 Wolkenhauer, Olaf
A1 Wilighagen, Egon L
A1 Pico, Alexander R
A1 Evelo, Chris T
A1 Gillespie, Marc E
A1 Stein, Lincoln D
A1 Hermjakob, Henning
A1 D'Eustachio, Peter
A1 Saez-Rodriguez, Julio
A1 Dopazo, Joaquin
A1 Valencia, Alfonso
A1 Kitano, Hiroaki
A1 Barillot, Emmanuel
A1 Auffray, Charles
A1 Balling, Rudi
A1 Schneider, Reinhard
K1 computable knowledge repository
K1 large-scale biocuration
K1 omics data analysis
K1 open access community effort
K1 systems biomedicine
AB 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.
PB EMBO Press
YR 2021
FD 2021-10-19
LK https://hdl.handle.net/10668/24617
UL https://hdl.handle.net/10668/24617
LA en
NO Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta-Resendiz A, et al. COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Mol Syst Biol. 2021 Oct;17(10):e10387.
DS RISalud
RD Jun 23, 2025