Review on
COVID-19
High-throughput screening
SARS-CoV-2
drug repurposing
in silico screening
in vitro assay
Journal
Current medicinal chemistry
ISSN: 1875-533X
Titre abrégé: Curr Med Chem
Pays: United Arab Emirates
ID NLM: 9440157
Informations de publication
Date de publication:
2022
2022
Historique:
received:
30
11
2021
revised:
01
02
2022
accepted:
24
03
2022
pubmed:
29
6
2022
medline:
12
10
2022
entrez:
28
6
2022
Statut:
ppublish
Résumé
The COVID-19 outbreak caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to have high incidence and mortality rate globally. To meet the increasingly growing demand for new therapeutic drugs and vaccines, researchers are developing different diagnostic techniques focused on screening new drugs in clinical use, developing an antibody targeting a SARS-CoV-2 receptor, or interrupting infection/replication mechanisms of SARS-CoV-2. Although many prestigious research publications are addressing this subject, there is no open access platform where all experimental techniques for COVID-19 research can be seen as a whole. Many researchers have accelerated the development of in silico methods, high-throughput screening techniques, and in vitro assays. This development has played an important role in the emergence of improved, innovative strategies, including different antiviral drug development, new drug discovery protocols, combinations of approved drugs, and setting up new drug classes during the COVID-19 outbreak. Hence, the present review discusses the current literature on these modalities, including virtual in silico methods for instant ligand- and target-driven based techniques, nucleic acid amplification tests, and in vitro models based on sensitive cell cultures, tissue equivalents, organoids, and SARS-CoV-2 neutralization systems (lentiviral pseudotype, viral isolates, etc.). This pack of complementary tests informs researchers about the accurate, most relevant emerging techniques available and in vitro assays allow them to understand their strengths and limitations. This review could be a pioneer reference guide for the development of logical algorithmic approaches for new drugs and vaccine strategies against COVID-19.
Identifiants
pubmed: 35761502
pii: CMC-EPUB-124803
doi: 10.2174/0929867329666220627121416
doi:
Substances chimiques
Antiviral Agents
0
Ligands
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
5925-5948Subventions
Organisme : Scientific and Technological Research Council of Turkey (TUBITAK)
ID : 18AG003
Informations de copyright
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.