A review on drug repurposing applicable to COVID-19.
Brief Bioinform
; 22(2): 726-741, 2021 03 22.
Article
in English
| MEDLINE | ID: covidwho-1343633
ABSTRACT
Drug repurposing involves the identification of new applications for existing drugs at a lower cost and in a shorter time. There are different computational drug-repurposing strategies and some of these approaches have been applied to the coronavirus disease 2019 (COVID-19) pandemic. Computational drug-repositioning approaches applied to COVID-19 can be broadly categorized into (i) network-based models, (ii) structure-based approaches and (iii) artificial intelligence (AI) approaches. Network-based approaches are divided into two categories network-based clustering approaches and network-based propagation approaches. Both of them allowed to annotate some important patterns, to identify proteins that are functionally associated with COVID-19 and to discover novel drug-disease or drug-target relationships useful for new therapies. Structure-based approaches allowed to identify small chemical compounds able to bind macromolecular targets to evaluate how a chemical compound can interact with the biological counterpart, trying to find new applications for existing drugs. AI-based networks appear, at the moment, less relevant since they need more data for their application.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Antiviral Agents
/
Drug Repositioning
/
SARS-CoV-2
/
COVID-19 Drug Treatment
Type of study:
Experimental Studies
Limits:
Humans
Language:
English
Journal:
Brief Bioinform
Journal subject:
Biology
/
Medical Informatics
Year:
2021
Document Type:
Article
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