Chemo and Bioinformatics Resources For In Silico Drug Discovery from Acalypha Hispida beyond Their Traditional Use
- Author Vasthi Kennedy Evanjelene
- Co-Author R. Karthiga
- DOI
- Country : India
- Subject : Biotechnology
Keywords : Phytochemical, GCMS, Drug Discovery
Abstract
There is a constant demand to develop new, effective and affordable drugs. The traditional medicine (TM) is a valuable and alternative resource for identifying novel drug agents. In silicon approaches have been widely recognized to be useful for drug discovery. Here, we consider the significance of available databases of medicinal plants and chemo and bioinformatics tools for in silicon drug discovery beyond the traditional use of folk medicines. In this study, we aim to identify the different compounds from plants through preliminary studies by using chemo and bioinformatics tools. We first predicted compounds from GCMS analysis and analyzed for the active compound. Similarity analysis revealed that 75% of the compounds are highly similar to the approved anti-cancer drugs. Based on the predicted compounds, we identified properties of plants by activity enrichment. The identified plant is Acalypha hispida, the chenille plant, is a flowering shrub which belongs to the family Euphorbiaceae, which broadens the scope of the drug screening. Finally, we constructed a network of predicted that the plant are approved based on the above results.
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