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.
Keywords: Ayurveda, bioactives, drug discovery, drug targets, network pharmacology, systems biology, Triphala.
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