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An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19.
Biomed Res Int. 2021; 2021:8853056.BR

Abstract

The recent outbreak of the deadly coronavirus disease 19 (COVID-19) pandemic poses serious health concerns around the world. The lack of approved drugs or vaccines continues to be a challenge and further necessitates the discovery of new therapeutic molecules. Computer-aided drug design has helped to expedite the drug discovery and development process by minimizing the cost and time. In this review article, we highlight two important categories of computer-aided drug design (CADD), viz., the ligand-based as well as structured-based drug discovery. Various molecular modeling techniques involved in structure-based drug design are molecular docking and molecular dynamic simulation, whereas ligand-based drug design includes pharmacophore modeling, quantitative structure-activity relationship (QSARs), and artificial intelligence (AI). We have briefly discussed the significance of computer-aided drug design in the context of COVID-19 and how the researchers continue to rely on these computational techniques in the rapid identification of promising drug candidate molecules against various drug targets implicated in the pathogenesis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The structural elucidation of pharmacological drug targets and the discovery of preclinical drug candidate molecules have accelerated both structure-based as well as ligand-based drug design. This review article will help the clinicians and researchers to exploit the immense potential of computer-aided drug design in designing and identification of drug molecules and thereby helping in the management of fatal disease.

Authors+Show Affiliations

Department of Basic Sciences and Social Sciences, North-Eastern Hill University, Shillong, 793022 Meghalaya, India.Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.Department of Environment and Forest Resources, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea.Department of Zoology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.Department of Zoology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.

Pub Type(s)

Journal Article
Review

Language

eng

PubMed ID

34258282

Citation

Gurung, Arun Bahadur, et al. "An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19." BioMed Research International, vol. 2021, 2021, p. 8853056.
Gurung AB, Ali MA, Lee J, et al. An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19. Biomed Res Int. 2021;2021:8853056.
Gurung, A. B., Ali, M. A., Lee, J., Farah, M. A., & Al-Anazi, K. M. (2021). An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19. BioMed Research International, 2021, 8853056. https://doi.org/10.1155/2021/8853056
Gurung AB, et al. An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19. Biomed Res Int. 2021;2021:8853056. PubMed PMID: 34258282.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19. AU - Gurung,Arun Bahadur, AU - Ali,Mohammad Ajmal, AU - Lee,Joongku, AU - Farah,Mohammad Abul, AU - Al-Anazi,Khalid Mashay, Y1 - 2021/06/24/ PY - 2020/09/08/received PY - 2021/05/31/revised PY - 2021/06/11/accepted PY - 2021/7/14/entrez PY - 2021/7/15/pubmed PY - 2021/7/20/medline SP - 8853056 EP - 8853056 JF - BioMed research international JO - Biomed Res Int VL - 2021 N2 - The recent outbreak of the deadly coronavirus disease 19 (COVID-19) pandemic poses serious health concerns around the world. The lack of approved drugs or vaccines continues to be a challenge and further necessitates the discovery of new therapeutic molecules. Computer-aided drug design has helped to expedite the drug discovery and development process by minimizing the cost and time. In this review article, we highlight two important categories of computer-aided drug design (CADD), viz., the ligand-based as well as structured-based drug discovery. Various molecular modeling techniques involved in structure-based drug design are molecular docking and molecular dynamic simulation, whereas ligand-based drug design includes pharmacophore modeling, quantitative structure-activity relationship (QSARs), and artificial intelligence (AI). We have briefly discussed the significance of computer-aided drug design in the context of COVID-19 and how the researchers continue to rely on these computational techniques in the rapid identification of promising drug candidate molecules against various drug targets implicated in the pathogenesis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The structural elucidation of pharmacological drug targets and the discovery of preclinical drug candidate molecules have accelerated both structure-based as well as ligand-based drug design. This review article will help the clinicians and researchers to exploit the immense potential of computer-aided drug design in designing and identification of drug molecules and thereby helping in the management of fatal disease. SN - 2314-6141 UR - https://www.unboundmedicine.com/medline/citation/34258282/An_Updated_Review_of_Computer-Aided_Drug_Design_and_Its_Application_to_COVID-19. L2 - https://doi.org/10.1155/2021/8853056 DB - PRIME DP - Unbound Medicine ER -