Abstract

Ethnobotany is an applied multidisciplinary science in which we not only systemically study inter-relations between human and plant kingdom but also has applications in many fields, including food industry, climate change, biodiversity conservation, and human health. Ethnobotanical plants form an integral part of human life. Many medicinal and aromatic plants are used by locals and nomadic people, which come from a wild source. According to Atharva-Veda, Cannabis is one of the most sacred plants.Perfect development provides insurance for health and healthy life and maintains stability in the ecosystem. If we deeply observe our different traditions, we will find that every ritual shows the close relationship of humans with nature. There are a number of natural ingredients used for performing different rituals. Cannabis is the plant that is commonly known as “Bhang”. Cannabis has been traditionally associated with lord “Shiva” worship. There are various stories behind these rituals mentioned in various mythology books. In this research, we focus on this plant’s ethnomedicinal value and assessed the antidiabetic potential of Cannabis sativa, an ethnobotanical plant of Ranikhet tehsil, by in-silico method. Hence, we conducted molecular docking of phytochemicals with molecular antidiabetic targets, alpha-amylase. The aim of this paper is an in-silico study of the C. sativa’s phytochemicals on the glucose metabolism related to alpha-amylase. From our study, we hope to find potential phytochemicals which could be useful in treating diabetes problems

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