Potential medicinal plants involved in inhibiting 3CLpro activity: A practical alternate approach to combating COVID-19

Yang, Fan; Jiang, Xiaolan; Tariq, Akash; Sadia, Sehrish; Ahmed, Zeeshan; Sardans, Jordi; Aleem, M.; Ullah, Riaz; Bussmann, Rainer W.

doi:10.1016/j.joim.2022.08.001

Cited by 5 publications

(4 citation statements)

References 80 publications

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“…The GIS tools can be extended to different areas of interest to enhance the research study. The researchers 18 concentrated on probable medicinal plants ( Angelica keiskei, Ecklonia cava, Torreya nucifera and many more) that can serve as a nutraceutical to supervise COVID-19 for the public at a reduced cost. The work presents the curation of facts from multiple sources (search engines) such as Scopus, Web of Science, PubMed and Google Scholar to retrieve information on the usage of medicinal plant compounds and their inhibitory effects to cure SARS-CoV 3CL.…”

Section: Related Workmentioning

confidence: 99%

Mapping of soil suitability for medicinal plants using machine learning methods

Roopashree,

Anitha,

Challa

et al. 2024

Sci Rep

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Inadequate conservation of medicinal plants can affect their productivity. Traditional assessments and strategies are often time-consuming and linked with errors. Utilizing herbs has been an integral part of the traditional system of medicine for centuries. However, its sustainability and conservation are critical due to climate change, over-harvesting and habitat loss. The study reveals how machine learning algorithms, geographic information systems (GIS) being a powerful tool for mapping and spatial analysis, and soil information can contribute to a swift decision-making approach for actual forethought and intensify the productivity of vulnerable curative plants of specific regions to promote drug discovery. The data analysis based on machine learning and data mining techniques over the soil, medicinal plants and GIS information can predict quick and effective results on a map to nurture the growth of the herbs. The work incorporates the construction of a novel dataset by using the quantum geographic information system tool and recommends the vulnerable herbs by implementing different supervised algorithms such as extra tree classifier (EXTC), random forest, bagging classifier, extreme gradient boosting and k nearest neighbor. Two unique approaches suggested for the user by using EXTC, firstly, for a given subregion type, its suitable soil classes and secondly, for soil type from the user, its respective subregion labels are revealed, finally, potential medicinal herbs and their conservation status are visualised using the choropleth map for classified soil/subregion. The research concludes on EXTC as it showcases outstanding performance for both soil and subregion classifications compared to other models, with an accuracy rate of 99.01% and 98.76%, respectively. The approach focuses on serving as a comprehensive and swift reference for the general public, bioscience researchers, and conservationists interested in conserving medicinal herbs based on soil availability or specific regions through maps.

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Section: Related Workmentioning

confidence: 99%

Mapping of soil suitability for medicinal plants using machine learning methods

Roopashree,

Anitha,

Challa

et al. 2024

Sci Rep

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“…proved their high anti-viral potential against SARS-CoV-2 particles. Essentially, these biomolecules are capable of inhibiting the synthesis of non-structural proteins that are crucial for viral survival and multiplication in host cells by inhibiting 3CL pro enzymes [ 23 ]. Additionally, plants’ extracts can inhibit this virus using a multitude of strategies, including the disruption of the viral adsorption capacity, impairing its entry to host cells, and preventing its replication, thus stopping its life cycle [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Treating COVID-19 with Medicinal Plants: Is It Even Conceivable? A Comprehensive Review

Al-Jamal,

Idriss,

Roufayel

et al. 2024

Viruses

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In 2020, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) challenged the world with a global outbreak that led to millions of deaths worldwide. Coronavirus disease 2019 (COVID-19) is the symptomatic manifestation of this virus, which can range from flu-like symptoms to utter clinical complications and even death. Since there was no clear medicine that could tackle this infection or lower its complications with minimal adverse effects on the patients’ health, the world health organization (WHO) developed awareness programs to lower the infection rate and limit the fast spread of this virus. Although vaccines have been developed as preventative tools, people still prefer going back to traditional herbal medicine, which provides remarkable health benefits that can either prevent the viral infection or limit the progression of severe symptoms through different mechanistic pathways with relatively insignificant side effects. This comprehensive review provides scientific evidence elucidating the effect of 10 different plants against SARS-CoV-2, paving the way for further studies to reconsider plant-based extracts, rich in bioactive compounds, into more advanced clinical assessments in order to identify their impact on patients suffering from COVID-19.

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“…Xanthoangelol E, extracted from Angelica sinensis , could effectively inhibit the activity of the SARS-CoV-2 3CL precursor. 7…”

Section: Introductionmentioning

confidence: 99%

“…Xanthoangelol E, extracted from Angelica sinensis, could effectively inhibit the activity of the SARS-CoV-2 3CL precursor. 7 Nowadays, most of the commonly used TCMs are obtained by articial planting where good agricultural practices (GAPs) are lacking in the process, resulting in the unstandardized and unreasonable use of pesticides and fertilizers. 8 The safety and contamination of Chinese medicinal materials are global issues; moreover, pesticides pose a signicant hazard to human health.…”

Section: Introductionmentioning

confidence: 99%