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COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms.

Authors :
Ostaszewski, Marek
Niarakis, Anna
Mazein, Alexander
Kuperstein, Inna
Phair, Robert
Orta‐Resendiz, Aurelio
Singh, Vidisha
Aghamiri, Sara Sadat
Acencio, Marcio Luis
Glaab, Enrico
Ruepp, Andreas
Fobo, Gisela
Montrone, Corinna
Brauner, Barbara
Frishman, Goar
Monraz Gómez, Luis Cristóbal
Somers, Julia
Hoch, Matti
Kumar Gupta, Shailendra
Scheel, Julia
Source :
Molecular Systems Biology; Oct2021, Vol. 17 Issue 10, p1-22, 22p
Publication Year :
2021

Abstract

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. SYNOPSIS: COVID‐19 Disease Map is a large‐scale collection of curated computational models and diagrams of molecular mechanisms involved in SARS‐CoV‐2 infection. The map supports the computational exploration of pathways affected by the virus. COVID‐19 Disease Map was built by over 20 independent biocuration teams and harmonised using systems biology standards.Biocuration efforts were assisted by the systematic use of text‐ and AI‐assisted mining of relevant bioinformatic databases and platforms.Case studies illustrate the applications of the map for visual exploration and computational analysis of SARS‐CoV‐2 pathways in combination with omic data.The map is an open‐access effort, with all content and code shared in public repositories. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17444292
Volume :
17
Issue :
10
Database :
Complementary Index
Journal :
Molecular Systems Biology
Publication Type :
Academic Journal
Accession number :
153245470
Full Text :
https://doi.org/10.15252/msb.202110387