2 research outputs found

    GLOBAL CURRENT TRENDS IN NATURAL PRODUCTS FOR DIABETES MANAGEMENT: A REVIEW

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    Diabetes mellitus is a major health problem in the world. There is no cure for diabetes. It is, therefore, essential to practice effective methods of the diagnosis, treatment, and management of diabetes. With the increase in a number of newer drugs for diabetes, there is the possibility of a wide range of side effects that vary from one drug to another. Hence, the need to explore oral antidiabetic drugs of natural origin with minimal side effects is highly essential. This review provides a scientific perspective on the usage and research of natural and Indian traditional remedies in the management of diabetes while also providing insight into the advances in our understanding of diabetic pathology.Keywords: Diabetes, Hyperglycemia, Diabetic complications, Medicinal plant

    PREDICTION OF ABSORPTION, DISTRIBUTION, METABOLISM, AND EXCRETION ACTIVITY OF THE COMPONENTS OF MADHUCA LONGIFOLIA AND ITS INHIBITING TARGET MOLECULE

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    Objectives: Madhuca longifolia is a versatile tropical tree mostly cultivated or harvested in the wild in South Asia for its edible flowers and oil seeds. Mahua trees are vegetatively propagated; they act as soil improvers, and also help in soil reclamation and erosion control. M. longifolia is a plant of great importance due to its scientifically proven uses such as antioxidant activity, immune suppression, and neuroprotective activity, which is because of the various chemical constituents present in different parts of the plant. The aim of our study is to analyze the absorption, distribution, metabolism, and excretion (ADME) properties and pathways analysis of active components of M. longifolia. Methods: The detailed study of these chemical constituents is done using PubChem and software’s such as Rasmol and Pymol. Swiss ADME was used to find out the ADME properties of the chemical constituents present in the plant. The pathway analysis was done using a literature survey and Swiss TargetPrediction. Results: The research has identify the potentially active compound from the plant with its inhibitory target protein. Conclusion: The ADME result demonstrates the potential pharmacological activity of the plant compound, which can be studied through in vivo model against its potential inhibitory target molecules
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