Review on


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
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

5925-5948

Subventions

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.

Auteurs

Yuksel Cetin (Y)

Genetic Engineering and Biotechnology Institute, Marmara Research Center (MRC), The Scientific and Technological Research Council of Turkey (TUBITAK), Gebze, Turkey.

Seyma Aydinlik (S)

Genetic Engineering and Biotechnology Institute, Marmara Research Center (MRC), The Scientific and Technological Research Council of Turkey (TUBITAK), Gebze, Turkey.

Aysen Gungor (A)

Genetic Engineering and Biotechnology Institute, Marmara Research Center (MRC), The Scientific and Technological Research Council of Turkey (TUBITAK), Gebze, Turkey.

Tugce Kan (T)

Genetic Engineering and Biotechnology Institute, Marmara Research Center (MRC), The Scientific and Technological Research Council of Turkey (TUBITAK), Gebze, Turkey.

Timucin Avsar (T)

Department of Medical Biology, School of Medicine, Bahcesehir University, Istanbul, Turkey.

Serdar Durdagi (S)

Department of Biophysics, Computational Biology and Molecular Simulations Laboratory, School of Medicine, Bahcesehir University, Istanbul, Turkey.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH