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000162909 0247_ $$2doi$$a10.15252/msb.202110387
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000162909 037__ $$aDZNE-2021-01564
000162909 041__ $$aEnglish
000162909 082__ $$a570
000162909 1001_ $$00000-0003-1473-370X$$aOstaszewski, Marek$$b0
000162909 245__ $$aCOVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.
000162909 260__ $$aHeidelberg$$bEMBO Press$$c2021
000162909 3367_ $$2DRIVER$$aarticle
000162909 3367_ $$2DataCite$$aOutput Types/Journal article
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000162909 500__ $$a(CC BY)
000162909 520__ $$aWe 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.
000162909 536__ $$0G:(DE-HGF)POF4-352$$a352 - Disease Mechanisms (POF4-352)$$cPOF4-352$$fPOF IV$$x0
000162909 588__ $$aDataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
000162909 650_7 $$2Other$$acomputable knowledge repository
000162909 650_7 $$2Other$$alarge-scale biocuration
000162909 650_7 $$2Other$$aomics data analysis
000162909 650_7 $$2Other$$aopen access community effort
000162909 650_7 $$2Other$$asystems biomedicine
000162909 650_7 $$2NLM Chemicals$$aAntiviral Agents
000162909 650_7 $$2NLM Chemicals$$aCytokines
000162909 650_7 $$2NLM Chemicals$$aTranscription Factors
000162909 650_7 $$2NLM Chemicals$$aViral Proteins
000162909 650_2 $$2MeSH$$aCOVID-19 Drug Treatment
000162909 650_2 $$2MeSH$$aAntiviral Agents: therapeutic use
000162909 650_2 $$2MeSH$$aCOVID-19: drug therapy
000162909 650_2 $$2MeSH$$aCOVID-19: genetics
000162909 650_2 $$2MeSH$$aCOVID-19: immunology
000162909 650_2 $$2MeSH$$aCOVID-19: virology
000162909 650_2 $$2MeSH$$aComputational Biology: methods
000162909 650_2 $$2MeSH$$aComputer Graphics
000162909 650_2 $$2MeSH$$aCytokines: genetics
000162909 650_2 $$2MeSH$$aCytokines: immunology
000162909 650_2 $$2MeSH$$aData Mining: statistics & numerical data
000162909 650_2 $$2MeSH$$aDatabases, Factual
000162909 650_2 $$2MeSH$$aGene Expression Regulation
000162909 650_2 $$2MeSH$$aHost Microbial Interactions: genetics
000162909 650_2 $$2MeSH$$aHost Microbial Interactions: immunology
000162909 650_2 $$2MeSH$$aHumans
000162909 650_2 $$2MeSH$$aImmunity, Cellular: drug effects
000162909 650_2 $$2MeSH$$aImmunity, Humoral: drug effects
000162909 650_2 $$2MeSH$$aImmunity, Innate: drug effects
000162909 650_2 $$2MeSH$$aLymphocytes: drug effects
000162909 650_2 $$2MeSH$$aLymphocytes: immunology
000162909 650_2 $$2MeSH$$aLymphocytes: virology
000162909 650_2 $$2MeSH$$aMetabolic Networks and Pathways: genetics
000162909 650_2 $$2MeSH$$aMetabolic Networks and Pathways: immunology
000162909 650_2 $$2MeSH$$aMyeloid Cells: drug effects
000162909 650_2 $$2MeSH$$aMyeloid Cells: immunology
000162909 650_2 $$2MeSH$$aMyeloid Cells: virology
000162909 650_2 $$2MeSH$$aProtein Interaction Mapping
000162909 650_2 $$2MeSH$$aSARS-CoV-2: drug effects
000162909 650_2 $$2MeSH$$aSARS-CoV-2: genetics
000162909 650_2 $$2MeSH$$aSARS-CoV-2: immunology
000162909 650_2 $$2MeSH$$aSARS-CoV-2: pathogenicity
000162909 650_2 $$2MeSH$$aSignal Transduction
000162909 650_2 $$2MeSH$$aSoftware
000162909 650_2 $$2MeSH$$aTranscription Factors: genetics
000162909 650_2 $$2MeSH$$aTranscription Factors: immunology
000162909 650_2 $$2MeSH$$aViral Proteins: genetics
000162909 650_2 $$2MeSH$$aViral Proteins: immunology
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000162909 773__ $$0PERI:(DE-600)2193510-5$$a10.15252/msb.202110387$$gVol. 17, no. 10$$n10$$pe10387$$tMolecular systems biology$$v17$$x1744-4292$$y2021
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