Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2

Alsharif M., Alsharif Y., Albreem M., Jahid A., Solyman A., Yahya K., ...More

European Review for Medical and Pharmacological Sciences, vol.24, no.22, pp.11977-11981, 2020 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 22
  • Publication Date: 2020
  • Doi Number: 10.26355/eurrev_202011_23860
  • Journal Name: European Review for Medical and Pharmacological Sciences
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Page Numbers: pp.11977-11981
  • Keywords: Artificial intelligence, Coronavirus, COVID-19, Machine learning, SARS-CoV-2
  • Istanbul Gelisim University Affiliated: Yes

Abstract

© 2020 Verduci Editore s.r.l. All rights reserved.Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-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 SARSCoV-2 and the current application of AI in drug repurposing for COVID-19 treatment.