| Autor: |
Alsharif MH; Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Gwangjin-gu, Seoul, Korea. malsharif@sejong.ac.kr., Alsharif YH, Albreem MA, Jahid A, Solyman AAA, Yahya K, Alomari OA, Hossain MS |
| Jazyk: |
angličtina |
| Zdroj: |
European review for medical and pharmacological sciences [Eur Rev Med Pharmacol Sci] 2020 Nov; Vol. 24 (22), pp. 11977-11981. |
| DOI: |
10.26355/eurrev_202011_23860 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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