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A review on computational approaches that support the researches on traditional Chinese medicines (TCM) against COVID-19.
Ruchawapol, Chattarin; Fu, Wen-Wei; Xu, Hong-Xi.
  • Ruchawapol C; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Cai Lun Lu 1200, Shanghai 201203, China; Engineering Research Centre of Shanghai Colleges for TCM New Drug Discovery, Cai Lun Lu 1200, Shanghai 201203, China.
  • Fu WW; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Cai Lun Lu 1200, Shanghai 201203, China; Engineering Research Centre of Shanghai Colleges for TCM New Drug Discovery, Cai Lun Lu 1200, Shanghai 201203, China. Electronic address: fuwenwei@shutcm.edu.cn.
  • Xu HX; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Cai Lun Lu 1200, Shanghai 201203, China; Engineering Research Centre of Shanghai Colleges for TCM New Drug Discovery, Cai Lun Lu 1200, Shanghai 201203, China. Electronic address: hxxu@shutcm.edu.cn.
Phytomedicine ; 104: 154324, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-2000662
ABSTRACT

BACKGROUND:

COVID-19 highly caused contagious infections and massive deaths worldwide as well as unprecedentedly disrupting global economies and societies, and the urgent development of new antiviral medications are required. Medicinal herbs are promising resources for the discovery of prophylactic candidate against COVID-19. Considerable amounts of experimental efforts have been made on vaccines and direct-acting antiviral agents (DAAs), but neither of them was fast and fully developed.

PURPOSE:

This study examined the computational approaches that have played a significant role in drug discovery and development against COVID-19, and these computational methods and tools will be helpful for the discovery of lead compounds from phytochemicals and understanding the molecular mechanism of action of TCM in the prevention and control of the other diseases.

METHODS:

A search conducting in scientific databases (PubMed, Science Direct, ResearchGate, Google Scholar, and Web of Science) found a total of 2172 articles, which were retrieved via web interface of the following websites. After applying some inclusion and exclusion criteria and full-text screening, only 292 articles were collected as eligible articles.

RESULTS:

In this review, we highlight three main categories of computational approaches including structure-based, knowledge-mining (artificial intelligence) and network-based approaches. The most commonly used database, molecular docking tool, and MD simulation software include TCMSP, AutoDock Vina, and GROMACS, respectively. Network-based approaches were mainly provided to help readers understanding the complex mechanisms of multiple TCM ingredients, targets, diseases, and networks.

CONCLUSION:

Computational approaches have been broadly applied to the research of phytochemicals and TCM against COVID-19, and played a significant role in drug discovery and development in terms of the financial and time saving.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drugs, Chinese Herbal / Hepatitis C, Chronic / COVID-19 Drug Treatment Type of study: Diagnostic study / Reviews Topics: Traditional medicine / Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Phytomedicine Journal subject: Complementary Therapies Year: 2022 Document Type: Article Affiliation country: J.phymed.2022.154324

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drugs, Chinese Herbal / Hepatitis C, Chronic / COVID-19 Drug Treatment Type of study: Diagnostic study / Reviews Topics: Traditional medicine / Vaccines Limits: Humans Country/Region as subject: Asia Language: English Journal: Phytomedicine Journal subject: Complementary Therapies Year: 2022 Document Type: Article Affiliation country: J.phymed.2022.154324