Fuzzy optimization for identifying antiviral targets for treating SARS-CoV-2 infection in the heart.

ABSTRACT: In this paper, a fuzzy hierarchical optimization framework is proposed for identifying potential antiviral targets for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the heart. The proposed framework comprises four objectives for evaluating the elimination of viral biomass growth and the minimization of side effects during treatment. In the application of the framework, Dulbecco's modified eagle medium (DMEM) and Ham's medium were used as uptake nutrients on an antiviral target discovery platform. The prediction results from the framework reveal that most of the antiviral enzymes in the aforementioned media are involved in fatty acid metabolism and amino acid metabolism. However, six enzymes involved in cholesterol biosynthesis in Ham's medium and three

SUBMITTER: Chu SW 

PROVIDER: S-EPMC10537911 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature