Literature DB >> 26477351

Network Pharmacology of Ayurveda Formulation Triphala with Special Reference to Anti-Cancer Property.

Uma Chandran, Neelay Mehendale, Girish Tillu, Bhushan Patwardhan1.   

Abstract

Network pharmacology is an emerging technique, which integrates systems biology and computational biology to study multi-component and multi-targeted formulations. Ayurveda, the traditional system of Indian medicine, uses intelligent formulations; however, their scientific rationale and mechanisms remain largely unexplored. This paper presents the potential of network pharmacology to understand the rationale of a commonly used Ayurveda formulation known as Triphala. We have developed pharmacology networks of Triphala based on the information gathered from different databases and using the software Cytoscape. The networks depict the interaction of bioactives with molecular targets and their relation with diseases, especially cancer. The network pharmacology analysis of Triphala has offered new relationships among bioactives, targets and putative applications of cancer etiology. This pioneering effort might open new possibilities to know pharmacodynamics of Ayurvedic drugs like Triphala and also help in the discovery of new leads and targets for various diseases.

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Year:  2015        PMID: 26477351     DOI: 10.2174/1386207318666151019093606

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  14 in total

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3.  Ayurvedic anti-diabetic formulation Lodhrasavam inhibits alpha-amylase, alpha-glucosidase and suppresses adipogenic activity in vitro.

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4.  Exploration on the Approaches of Diverse Sedimentations in Polyphenol Solutions: An Integrated Chain of Evidence Based on the Physical Phase, Chemical Profile, and Sediment Elements.

Authors:  Hao-Zhou Huang; Bi Feng; Jun-Zhi Lin; Sheng-Yu Zhao; Hong-Yan Ma; Hai-Yan Liu; San-Hu Fan; Zhen-Feng Wu; Run-Chun Xu; Li Han; Ding-Kun Zhang
Journal:  Front Pharmacol       Date:  2019-09-18       Impact factor: 5.810

5.  Network Pharmacology and Molecular Docking Analysis on Molecular Targets and Mechanisms of Buyang Huanwu Decoction in the Treatment of Ischemic Stroke.

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6.  The mechanisms of Chuanxiong Rhizoma in treating spinal cord injury based on network pharmacology and experimental verification.

Authors:  Bo Tao; Qi Wang; Jiangang Cao; Yimingjiang Yasen; Lei Ma; Chao Sun; Jun Shang; Shiqing Feng
Journal:  Ann Transl Med       Date:  2021-07

7.  The mechanisms of celastrol in treating papillary thyroid carcinoma based on network pharmacology and experiment verification.

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Review 8.  Triphala: current applications and new perspectives on the treatment of functional gastrointestinal disorders.

Authors:  Aleksandra Tarasiuk; Paula Mosińska; Jakub Fichna
Journal:  Chin Med       Date:  2018-07-18       Impact factor: 5.455

9.  An Integrated Study on the Antitumor Effect and Mechanism of Triphala Against Gynecological Cancers Based on Network Pharmacological Prediction and In Vitro Experimental Validation.

Authors:  Yuhang Zhao; Min Wang; Jokyab Tsering; Hanluo Li; Simin Li; Yuepeng Li; Yinghua Liu; Xianda Hu
Journal:  Integr Cancer Ther       Date:  2018-05-10       Impact factor: 3.279

10.  A network pharmacology-based approach to explore potential targets of Caesalpinia pulcherima: an updated prototype in drug discovery.

Authors:  Nikhil S Sakle; Shweta A More; Santosh N Mokale
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

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