Structural delving and insilico analysis of proteins of Rhinacanthus Nasutus- an indigenous medicinal plant

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Rubalakshmi G, Nirubama K, Prabhakaran S
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Abstract

Medicinal plants are staging a comeback and ‘renaissance’ is happening all over the globe. The Medicinal plants products today symbolise safety in contrast to the synthetics that are regarded as unsafe to human and environment. So the medicinal plants have a promising role in to prevent and as well as to cure the diseases. Andrographis is an important genus of the family Acanthacae known for its ethanomedicinal claims and for a variety of medicinal properties. Rhinacanthus nasutus has been used in various folk medicinal preparations and its chemical composition and pharmacological activities have been elaborated recently. Functional characterization of a protein sequence is one of the most frequent problems in biology. This task is usually facilitated by accurate three-dimensional (3-D) structure of the protein. The number of protein sequences that can be modeled, as well as the accuracy of the prediction, is increasing steadily because of the growth and number of known protein sequences and structures as well as improvements in the modeling software. It is currently possible to model, with useful accuracy. Significant parts of approximately one half of all known protein sequences. This research report render a futuristic summary of bioinformatics study of Rhinacanthus nasutus  with emphasis on the current development and future directions, which shall provide tools and resources necessary to understand and uphold advances in this important field. The aim of the present study, 2 proteins of Rhinacanthus nasutus were analysed using bioinformatics tools. Structural prediction and functional characterization of proteins of Rhinacanthus nasutus were done using Expasy Protparm server, 3D structure was done using SWISS MODEL. Plants of different family showing identity 80% and above were selected and its sequences retrieved, aligned using Clustal Omega. phylogenetic tree was constructed for the aligned sequence.  Structure prediction showed that α – helix, random coil, β – turn and extended strand predominates. Phylogenetic analysis of rbcl of Rhinacanthus nasutus reveals that the Plants of Verbenaceae, Bignonaceae, and Fabaceae family are closely related. Hence the present article includes the detailed exploration of Computational tools of protein, and bioinformatic aspects of R.nasutus in an attempt to provide a direction for further research.
土生药用植物鼻棘的结构研究及蛋白质的计算机分析
药用植物正在卷土重来,“复兴”正在全球范围内发生。与被认为对人类和环境不安全的合成物相比,今天的药用植物产品象征着安全。因此,药用植物在预防和治疗这些疾病方面具有广阔的应用前景。穿心莲是刺五加科的一个重要属,以其乙醇医学主张和各种药用特性而闻名。鼻甲已被广泛应用于各种民间医药制剂中,近年来对其化学成分和药理活性进行了阐述。蛋白质序列的功能表征是生物学中最常见的问题之一。这一任务通常由精确的蛋白质三维(3-D)结构促成。由于已知蛋白质序列和结构的增长和数量以及建模软件的改进,可以建模的蛋白质序列的数量以及预测的准确性正在稳步增加。目前有可能以有用的准确性建立模型。大约一半的已知蛋白质序列的重要部分。本研究报告对鼻甲生物信息学研究的现状和未来发展方向进行了展望,为了解和维护这一重要领域的进展提供了必要的工具和资源。目的:利用生物信息学方法对鼻棘的2种蛋白进行分析。利用Expasy Protparm server对鼻甲蛋白进行结构预测和功能表征,利用SWISS MODEL进行三维结构分析。选择同源性在80%以上的不同科植物,检索其序列,利用Clustal Omega进行比对。对比对序列构建系统发育树。结构预测表明,α -螺旋、无规则螺旋、β -旋和延伸链为主。对马蹄草属植物rbcl的系统发育分析表明,马鞭草科、马蹄草科和豆科植物具有密切的亲缘关系。因此,本文从蛋白质计算工具、生物信息学等方面对纳苏特鼠进行了详细的探讨,以期为进一步的研究提供方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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