Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.
Journal:
European review for medical and pharmacological sciences
PMID:
33275275
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.
Authors
Keywords
Adenosine Monophosphate
Alanine
Antibodies, Monoclonal, Humanized
Antiviral Agents
Artificial Intelligence
Ascorbic Acid
Chloroquine
COVID-19
COVID-19 Drug Treatment
COVID-19 Vaccines
Deep Learning
Drug Combinations
Drug Development
Drug Repositioning
Humans
Hydroxychloroquine
Immunosuppressive Agents
Lopinavir
Machine Learning
Ribavirin
Ritonavir
Vitamins