| 3 | Ayurveda and in silico Approach: A Challenging Proficient Confluence for Better Development of Effective Traditional Medicine Spotlighting Network Pharmacology显示文摘Coalescence of traditional medicine Ayurveda and in silico technology is a rigor for supplementary development of future-ready effective traditional medicine. Ayurveda is a popular traditional medicine in South Asia, emanating worldwide for the treatment of metabolic disorders and chronic illness. Techniques of in silico biology are not much explored for the investigation of a variety of bioactive phytochemicals of Ayurvedic herbs. Drug repurposing, reverse pharmacology, and polypharmacology in Ayurveda are areas in silico explorations that are needed to understand the rich repertoire of herbs, minerals, herbo-minerals, and assorted Ayurvedic formulations. This review emphasizes exploring the concept of Ayurveda with in silico approaches and the need for Ayurinformatics studies. It also provides an overview of in silico studies done on phytoconstituents of some important Ayurvedic plants, the utility of in silico studies in Ayurvedic phytoconstituents/formulations, limitations/challenges, and prospects of in silico studies in Ayurveda. This article discusses the convergence of in silico work, especially in the least explored field of Ayurveda. The focused coalesce of these two domains could present a predictive combinatorial platform to enhance translational research magnitude. In nutshell, it could provide new insight into an Ayurvedic drug discovery involving an in silico approach that could not only alleviate the process of traditional medicine research but also enhance its effectiveness in addressing health care. | Rashmi Sahu Prashant Kumar Gupta Amit Mishra Awanish Kumar | 2023 | Chinese Journal of Integrative Medicine2023，29，5： | 0 |
| 5 | Pharmacological, Ethnomedicinal, and Evidence-Based Comparative Review of Moringa oleifera Lam.(Shigru) and Its Potential Role in the Management of Malnutrition in Tribal Regions of India, Especially Chhattisgarh显示文摘Moringa oleifera Lam.(Shigru)(Moringaceae family) is a traditional medicine used for control of diabetes, obesity, asthma, and cardiac,liver, gastrointestinal, infective, and brain disorders, such as depression and Alzheimer's disease. In Ayurvedic literature, Shigru is among few drugs having Balya(nourishing) as well as Medohara(antiobesity) property. This review focuses on valid connections between the properties documented in ancient literature and current pharmacological knowledge of Moringa, including pharmacological actions, phytochemistry,botanical description, and how Moringa can tackle malnutrition in India, especially Chhattisgarh. All information about M. oleifera was obtained from electronic scientific databases such as PubMed, Web of Science, Scopus, ScienceDirect, Elsevier, Google Scholar, Traditional Knowledge Digital Library, and Indian Traditional Books(Ancient Ayurveda literatures, The Wealth of India, and The Ayurvedic Formulary of India), postgraduate/doctoral thesis, and googling the keyword M. oleifera. M. oleifera have anti-oxidant, antimicrobial, anti-diabetic,anti-obesity, anti-inflammatory, cardioprotective, hepatoprotective, neuroprotective, gastroprotective, wound-healing properties and it can potentially tackle malnutrition. This review describes the key information related to botanical description of M. oleifera, phytochemistry,pharmacological actions, clinical studies, toxicological studies, better utilization as food therapeutics, and ethnobotanical and evidence-based comparative review of M. oleifera. M. oleifera can effectively tackle malnutrition in India, especially Chhattisgarh. The authors emphasize the need for future in-depth ethnopharmacological lead-based research and clinical studies to expand M. oleifera pharmacological activities,clinical efficacy, and safety. | Kishor Sonewane Sharda Swaroop Chouhan Mariappan Rajan Nagendra Singh Chauhan Om Prakash Rout Awanish Kumar Gyanendra Singh Baghel Prashant Kumar Gupta | 2022 | World Journal of Traditional Chinese Medicine2022，8，3： | 0 |
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