Literature DB >> 34353886

Integrated human/SARS-CoV-2 metabolic models present novel treatment strategies against COVID-19.

Bridget P Bannerman1,2, Jorge Júlvez3, Alexandru Oarga3, Tom L Blundell4, Pablo Moreno5, R Andres Floto6.   

Abstract

The coronavirus disease 2019 (COVID-19) pandemic caused by the new coronavirus (SARS-CoV-2) is currently responsible for more than 3 million deaths in 219 countries across the world and with more than 140 million cases. The absence of FDA-approved drugs against SARS-CoV-2 has highlighted an urgent need to design new drugs. We developed an integrated model of the human cell and SARS-CoV-2 to provide insight into the virus' pathogenic mechanism and support current therapeutic strategies. We show the biochemical reactions required for the growth and general maintenance of the human cell, first, in its healthy state. We then demonstrate how the entry of SARS-CoV-2 into the human cell causes biochemical and structural changes, leading to a change of cell functions or cell death. A new computational method that predicts 20 unique reactions as drug targets from our models and provides a platform for future studies on viral entry inhibition, immune regulation, and drug optimisation strategies. The model is available in BioModels (https://www.ebi.ac.uk/biomodels/MODEL2007210001) and the software tool, findCPcli, that implements the computational method is available at https://github.com/findCP/findCPcli.
© 2021 Bannerman et al.

Entities:  

Year:  2021        PMID: 34353886     DOI: 10.26508/lsa.202000954

Source DB:  PubMed          Journal:  Life Sci Alliance        ISSN: 2575-1077


  2 in total

1.  Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity.

Authors:  Anoop T Ambikan; Hong Yang; Shuba Krishnan; Sara Svensson Akusjärvi; Soham Gupta; Magda Lourda; Maike Sperk; Muhammad Arif; Cheng Zhang; Hampus Nordqvist; Sivasankaran Munusamy Ponnan; Anders Sönnerborg; Carl Johan Treutiger; Liam O'Mahony; Adil Mardinoglu; Rui Benfeitas; Ujjwal Neogi
Journal:  Cell Syst       Date:  2022-07-08       Impact factor: 11.091

2.  Human/SARS-CoV-2 genome-scale metabolic modeling to discover potential antiviral targets for COVID-19.

Authors:  Feng-Sheng Wang; Ke-Lin Chen; Sz-Wei Chu
Journal:  J Taiwan Inst Chem Eng       Date:  2022-02-15       Impact factor: 5.876

  2 in total

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