{"title":"基于模块网络分析的Arjunarishta公式计算研究","authors":"K. Mahija, Stanzin Kadol, K. Nazeer","doi":"10.1109/ACCTHPA49271.2020.9213228","DOIUrl":null,"url":null,"abstract":"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).","PeriodicalId":191794,"journal":{"name":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational Investigation of Arjunarishta Formulation using Module-Network Analysis\",\"authors\":\"K. Mahija, Stanzin Kadol, K. Nazeer\",\"doi\":\"10.1109/ACCTHPA49271.2020.9213228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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).\",\"PeriodicalId\":191794,\"journal\":{\"name\":\"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACCTHPA49271.2020.9213228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCTHPA49271.2020.9213228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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).