Evidence map›Paper›PMID 34073716›Full record

ArticleGenes2021

Genome-Scale Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms Guanylate Kinase as Robust Potential Antiviral Target.

Alina Renz, Lina Widerspick, Andreas Dräger

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 44 citations in OpenAlex.

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  15. Genome-scale metabolic models consistently predictFrontiers in bioinformatics · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Alina RenzDepartment of Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-3851-9978
Lina WiderspickBernhard Nocht Institute for Tropical Medicine, Virus Immunology, 20359 Hamburg, Germany.ORCID 0000-0001-6666-7770
Andreas DrägerDepartment of Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-1240-5553
Bernhard Nocht Institute for Tropical Medicine · DEGerman Center for Infection Research · DEUniversity of Tübingen · DE

Funding

Deutsche Forschungsgemeinschaft EXC 2124 - 390838134Deutsches Zentrum für Infektionsforschung 8020708703
6 · The paper itself

Abstract

The current SARS-CoV-2 pandemic is still threatening humankind. Despite first successes in vaccine development and approval, no antiviral treatment is available for COVID-19 patients. The success is further tarnished by the emergence and spreading of mutation variants of SARS-CoV-2, for which some vaccines have lower efficacy. This highlights the urgent need for antiviral therapies even more. This article describes how the genome-scale metabolic model (GEM) of the host-virus interaction of human alveolar macrophages and SARS-CoV-2 was refined by incorporating the latest information about the virus's structural proteins and the mutant variants B.1.1.7, B.1.351, B.1.28, B.1.427/B.1.429, and B.1.617. We confirmed the initially identified guanylate kinase as a potential antiviral target with this refined model and identified further potential targets from the purine and pyrimidine metabolism. The model was further extended by incorporating the virus' lipid requirements. This opened new perspectives for potential antiviral targets in the altered lipid metabolism. Especially the phosphatidylcholine biosynthesis seems to play a pivotal role in viral replication. The guanylate kinase is even a robust target in all investigated mutation variants currently spreading worldwide. These new insights can guide laboratory experiments for the validation of identified potential antiviral targets. Only the combination of vaccines and antiviral therapies will effectively defeat this ongoing pandemic.

Indexed as

Energy MetabolismGenome, ViralHost-Pathogen InteractionsMutationAntiviral AgentsCOVID-19COVID-19 Drug TreatmentGene Knockdown TechniquesGuanylate KinasesHumansLipid MetabolismMacrophagesSARS-CoV-2Viral LoadVirus ReplicationAntiviral AgentsGuanylate KinasesB.1.1.7B.1.28B.1.351B.1.427/B.1.429B.1.617COVID-19flux balance analysis (FBA)genome-scale metabolic modelspurine metabolismpyrimidine metabolismreaction knock-outSARS-CoV-2structural proteinstarget identification

Identifiers

PMID34073716
PMCPMC8225150
OpenAlexW3161160131

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.