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.
|Title of host publication||Systems Biology of Tuberculosis|
|Editors||Johnjoe McFadden, Dany J.V. Beste, Andrzej M. Kierzek|
|Number of pages||15|
|Publication status||Published - 1 Nov 2013|