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

ABSTRACT:

Background

Coronavirus disease 2019 (COVID-19) has caused a substantial increase in mortality and economic and social disruption. The absence of US Food and Drug Administration-approved drugs for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) highlights the need for new therapeutic drugs to combat COVID-19.

Methods

The present study proposed a fuzzy hierarchical optimization framework for identifying potential antiviral targets for COVID-19. The objectives in the decision-making problem were not only to evaluate the elimination of the virus growth, but also to minimize side effects causing treatment. The identified candidate targets could promote processes of drug discovery and development.

Significant findings

Our gene-centric method revealed that dihyd

SUBMITTER: Wang FS 

PROVIDER: S-EPMC8843340 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature