Genome-scale metabolic modeling reveals SARS-CoV-2-induced metabolic changes and antiviral targets.

ABSTRACT: Tremendous progress has been made to control the COVID-19 pandemic caused by the SARS-CoV-2 virus. However, effective therapeutic options are still rare. Drug repurposing and combination represent practical strategies to address this urgent unmet medical need. Viruses, including coronaviruses, are known to hijack host metabolism to facilitate viral proliferation, making targeting host metabolism a promising antiviral approach. Here, we describe an integrated analysis of 12 published in vitro and human patient gene expression datasets on SARS-CoV-2 infection using genome-scale metabolic modeling (GEM), revealing complicated host metabolism reprogramming during SARS-CoV-2 infection. We next applied the GEM-based metabolic transformation algorithm to predict anti-SARS-CoV-2 targets tha

SUBMITTER: Cheng K 

PROVIDER: S-EPMC7852273 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature