A Data and Informatics Driven Drug Discovery Framework to Bridge Traditional and Modern Medicine

Systems biological models of complex diseases provide a rational way to target their molecular control mechanisms. On the other hand, traditional medicinal systems offer empirical evidence for efficacy of plant extracts against diseases. Informed with our recent research explorations, we propose a data and informatics driven integrative framework that bridges traditional and modern medicine for prospection of therapeutic phytochemicals. This framework has the potential to transform the drug discovery process by intelligently juxtaposing knowledge derived from complementary domains and enables hypothesis driven search for therapeutic molecules.

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