| Literature DB >> 33275275 |
M H Alsharif1, Y H Alsharif, M A Albreem, A Jahid, A A A Solyman, K Yahya, O A Alomari, M S Hossain.
Abstract
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug structures that can be used to treat COVID-19. Despite the effectively demonstrated repurposed drugs, more repurposed drugs should be recognized. Furthermore, technological advancements have been helpful in the battle against COVID-19. Machine intelligence technology can support this procedure by rapidly determining adequate and effective drugs against COVID-19 and by overcoming any barrier between a large number of repurposed drugs, laboratory/clinical testing, and final drug authorization. This paper reviews the proposed vaccines and medicines for SARS-CoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.Entities:
Year: 2020 PMID: 33275275 DOI: 10.26355/eurrev_202011_23860
Source DB: PubMed Journal: Eur Rev Med Pharmacol Sci ISSN: 1128-3602 Impact factor: 3.507