基于模块网络分析的Arjunarishta公式计算研究

K. Mahija, Stanzin Kadol, K. Nazeer
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引用次数: 0

摘要

技术的进步使科学家能够通过蛋白质-蛋白质相互作用网络(PINs)发现、发现和验证蛋白质相互作用。这种方法可以用于印度阿育吠陀医学,以了解某些配方的用法和效果,如阿诸那里斯塔配方(AF)。它能促进血液循环,预防心血管疾病。然而,AF增强心肌和调节血液循环的机制在系统水平或分子水平上的报道很少。本研究利用蛋白质相互作用网络解释了Arjunarishta formula(AF)的作用机制。从IMPPAT和STITCH数据库中提取AF中有效成分的人靶蛋白。利用该信息进一步在STRING数据库中搜索蛋白质之间的置信度评分。构建了蛋白质相互作用网络,并利用马尔可夫聚类算法构建了网络的功能模块。研究结果表明,阿诸那利沙制剂将有助于了解阿育吠陀制剂阿诸那利沙的作用机理及其在心血管疾病(CVD)中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Investigation of Arjunarishta Formulation using Module-Network Analysis
Progress in technology has permitted scientists to discover, find, verify protein interactions through Protein-Protein interaction networks(PINs). This approach can be used in Indian Ayurvedic medicine for understanding the usage and effects of certain formulations like Arjunarishta formulation(AF). It promotes blood circulation and prevents cardiovascular disorders. However, the mechanism of AF to strengthen the heart muscle and to regulate the circulation of blood is seldom reported at the systems level or molecular level. This study explains the mechanism of Arjunarishta formula(AF) using Protein Interaction Network. The human target protein of the effective components of the herbs present in AF was taken from IMPPAT and STITCH database. This information was further used to search the confidence score between the proteins in STRING database. The protein interaction network was constructed and functional modules of the network was constructed using Markov Clustering algorithm. The results indicate Arjunarishta formulation will prove to be beneficial for understanding the mechanism of Ayurvedic formulation Arjunarishta and its therapeutic uses in Cardio-vascular diseases(CVD).
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