COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.
Creators: name: Ostaszewski, Marek
name: Niarakis, Anna
name: Mazein, Alexander
name: Kuperstein, Inna
name: Phair, Robert
name: Orta-Resendiz, Aurelio
name: Singh, Vidisha
name: Aghamiri, Sara Sadat
name: Acencio, Marcio Luis
name: Glaab, Enrico
name: Ruepp, Andreas
name: Fobo, Gisela
name: Montrone, Corinna
name: Brauner, Barbara
name: Frishman, Goar
name: Monraz Gómez, Luis Cristóbal
name: Somers, Julia
name: Hoch, Matti
name: Kumar Gupta, Shailendra
name: Scheel, Julia
name: Borlinghaus, Hanna
name: Czauderna, Tobias
name: Schreiber, Falk
name: Montagud, Arnau
name: Ponce De Leon, Miguel
name: Funahashi, Akira
name: Hiki, Yusuke
name: Hiroi, Noriko
name: Yamada, Takahiro G
name: Dräger, Andreas
name: Renz, Alina
name: Naveez, Muhammad
name: Bocskei, Zsolt
name: Messina, Francesco
name: Börnigen, Daniela
name: Fergusson, Liam
name: Conti, Marta
name: Rameil, Marius
name: Nakonecnij, Vanessa
name: Vanhoefer, Jakob
name: Schmiester, Leonard
name: Wang, Muying
name: Ackerman, Emily E
name: Shoemaker, Jason E
name: Zucker, Jeremy
name: Oxford, Kristie
name: Teuton, Jeremy
name: Kocakaya, Ebru
name: Summak, Gökçe Yağmur
name: Hanspers, Kristina
name: Kutmon, Martina
name: Coort, Susan
name: Eijssen, Lars
name: Ehrhart, Friederike
name: Rex, Devasahayam Arokia Balaya
name: Slenter, Denise
name: Martens, Marvin
name: Pham, Nhung
name: Haw, Robin
name: Jassal, Bijay
name: Matthews, Lisa
name: Orlic-Milacic, Marija
name: Senff Ribeiro, Andrea
name: Rothfels, Karen
name: Shamovsky, Veronica
name: Stephan, Ralf
name: Sevilla, Cristoffer
name: Varusai, Thawfeek
name: Ravel, Jean-Marie
name: Fraser, Rupsha
name: Ortseifen, Vera
name: Marchesi, Silvia
name: Gawron, Piotr
name: Smula, Ewa
name: Heirendt, Laurent
name: Satagopam, Venkata
name: Wu, Guanming
name: Riutta, Anders
name: Golebiewski, Martin
name: Owen, Stuart
name: Goble, Carole
name: Hu, Xiaoming
name: Overall, Rupert W
name: Maier, Dieter
name: Bauch, Angela
name: Gyori, Benjamin M
name: Bachman, John A
name: Vega, Carlos
name: Grouès, Valentin
name: Vazquez, Miguel
name: Porras, Pablo
name: Licata, Luana
name: Iannuccelli, Marta
name: Sacco, Francesca
name: Nesterova, Anastasia
name: Yuryev, Anton
name: De Waard, Anita
name: Turei, Denes
name: Luna, Augustin
name: Babur, Ozgun
name: Soliman, Sylvain
name: Valdeolivas, Alberto
name: Esteban-Medina, Marina
name: Peña-Chilet, Maria
name: Rian, Kinza
name: Helikar, Tomáš
name: Puniya, Bhanwar Lal
name: Modos, Dezso
name: Treveil, Agatha
name: Olbei, Marton
name: De Meulder, Bertrand
name: Ballereau, Stephane
name: Dugourd, Aurélien
name: Naldi, Aurélien
name: Noël, Vincent
name: Calzone, Laurence
name: Sander, Chris
name: Demir, Emek
name: Korcsmaros, Tamas
name: Freeman, Tom C
name: Augé, Franck
name: Beckmann, Jacques S
name: Hasenauer, Jan
name: Wolkenhauer, Olaf
name: Wilighagen, Egon L
name: Pico, Alexander R
name: Evelo, Chris T
name: Gillespie, Marc E
name: Stein, Lincoln D
name: Hermjakob, Henning
name: D'Eustachio, Peter
name: Saez-Rodriguez, Julio
name: Dopazo, Joaquin
name: Valencia, Alfonso
name: Kitano, Hiroaki
name: Barillot, Emmanuel
name: Auffray, Charles
name: Balling, Rudi
name: Schneider, Reinhard
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Systems Biomedicine
Omics Data Analysis
Computable Knowledge Repository
Large-scale Biocuration
Open Access Community Effort

description: Funder: Bundesministerium für Bildung und Forschung
description: Funder: Bundesministerium für Bildung und Forschung (BMBF)
description: 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.