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., ...Daha Fazla

European Review for Medical and Pharmacological Sciences, cilt.24, sa.22, ss.11977-11981, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 22
  • Basım Tarihi: 2020
  • Doi Numarası: 10.26355/eurrev_202011_23860
  • Dergi Adı: European Review for Medical and Pharmacological Sciences
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.11977-11981
  • Anahtar Kelimeler: Artificial intelligence, Coronavirus, COVID-19, Machine learning, SARS-CoV-2
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

© 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.