Abstract
Tuberculosis (TB) is one of the major infectious diseases still prevailing on this planet. Emergence of drug resistant strains and problems of current treatment regimen warrant need for new drugs for TB. At the same time, economic factor plays a significant role as most patients are in the lowest income bracket of the society. This implies new drugs have to be developed in an innovative manner that allows delivery of drugs at low cost. Drug discovery is in general an expensive and capital-intensive process. A new type of big science is emerging that involves knowledge integration of small sciences as well as coordinating community-based participation. Social dynamics plays critical role in making project successful because open collaboration involves participants with diverse motivations and interests. Thus, proper “social engineering” will play greater role in scientific project planning and management in future. Open Source Drug Discovery (OSDD), initiated by Council for Scientific and Industrial Research (CSIR) of India, is one of such projects aiming at the development of drugs for TB. The fact that drug discovery is a competitive space, bringing in openness and collaboration through e-community-based approach is a challenging task. This article describes the international collaboration among OSDD, the Systems Biology Institute (SBI: Japan), and Okinawa Institute of Science and Technology (OIST: Japan) for reconstruction of a comprehensive and high-precision map of metabolic network of Mycobacterium tuberculosis (mTB) through a virtual collaborative space. The fact that OSDD involved large number of non-experts guided by experts in the process further sets it apart from other existing ways of addressing scientific problems of this scale.
Samik Ghosh and Anshu Bhardwaj are Joint first authors.
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Acknowledgments
The Indian team is fully supported by CSIR/OSDD, India. The Japanese team is, in part, supported by funding from the HD-Physiology Project of the Japan Society for the Promotion of Science (JSPS) to the Okinawa Institute of Science and Technology (OIST), and the International Strategic Collaborative Research Program (BBSRC-JST) of the Japan Science and Technology Agency (JST), the Exploratory Research for Advanced Technology (ERATO) programme of JST to the Systems Biology Institute (SBI).
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Ghosh, S. et al. (2013). Software Platform for Metabolic Network Reconstruction of Mycobacterium tuberculosis . In: McFadden, J., Beste, D., Kierzek, A. (eds) Systems Biology of Tuberculosis. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4966-9_2
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DOI: https://doi.org/10.1007/978-1-4614-4966-9_2
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