4.7 Article

Signaling Potential Therapeutic Herbal Medicine Prescription for Treating COVID-19 by Collaborative Filtering

Journal

FRONTIERS IN PHARMACOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fphar.2021.759479

Keywords

collaborative filtering; COVID-19; SARS-CoV-2 proteins; traditional herbal medicine; small molecule docking

Funding

  1. China Postdoctoral Science Foundation [2019M662373]
  2. National Key Research and Development Program of China [2020YFC2003500]
  3. National Natural Science Foundation of China [62071278]

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COVID-19 has spread globally, and supportive treatment is still the main therapy. Herbal medicine plays a key role in identifying and treating symptoms, with the National Health Commission of China recommending six effective herbal formulas for treating COVID-19.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has aggressed in more than 200 countries and territories since Dec 2019, and 30 million cases of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 have been reported, including 950,000 deaths. Supportive treatment remains the mainstay of therapy for COVID-19. There are no small-molecule-specific antiviral drugs available to prevent and treat COVID-19 until recently. Herbal medicine can facilitate syndrome differentiation and treatment according to the clinical manifestations of patients and has demonstrated effectiveness in epidemic prevention and control. The National Health Commission (NHC) of China has recommended three TCM prescriptions and three medicines, as a group of six effective herbal formulas against COVID-19 in the released official file Diagnosis and Treatment Protocol for COVID-19 Patients: Herbal Medicine for the Priority Treatment of COVID-19. This study aimed to develop a collaborative filtering approach to signaling drug combinations that are similar to the six herbal formulas as potential therapeutic treatments for treating COVID-19. The results have been evaluated by herbal medicine experts' domain knowledge.

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