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ISSN: 2379-1764

Advanced Techniques in Biology & Medicine
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Research Article

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

Sneha Pande1 and Ganesh Bagler1,2,3*
1Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India
2Centre for Biologically Inspired System Science, Indian Institute of Technology Jodhpur, Jodhpur, India
3Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Council of Scientific and Industrial Research, Palampur, India
Corresponding Author : Ganesh Bagler
CSIR-Institute of Himalayan Bioresource Technology
Council of Scientific and Industrial Research
Palampur, 176061, India
Tel: +919816931177
E-mail: [email protected]
Received: September 07, 2015; Accepted: September 21, 2015; Published: September 28, 2015
Citation: Pande S, Bagler G (2015) A Data and Informatics Driven Drug Discovery Framework to Bridge Traditional and Modern Medicine. Adv Tech Biol Med 3:141. doi: 10.4172/2379-1764.1000141
Copyright: © 2015 Pande S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

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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