Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms.

ABSTRACT: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery of effective treatments to fight this worldwide concern. Several genes associated with the SARS-CoV-2, which are essential for its functionality, pathogenesis, and survival, have been identified. These genes, which play crucial roles in SARS-CoV-2 infection, are considered potential therapeutic targets. Developing drugs against these essential genes to inhibit their regular functions could be a good approach for COVID-19 treatment. Artificial intelligence and machine learning methods provide powerful infrastructures for interpreting and understanding the available data and can assist in finding fast explanations and cures. We propose a method to highlight the essential genes that play crucial roles in

SUBMITTER: Taheri G 

PROVIDER: S-EPMC10499814 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature