Software Platform for Metabolic Network Reconstruction of Mycobacterium tuberculosis View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Samik Ghosh , Yukiko Matsuoka , Yoshiyuki Asai , Hiroaki Kitano , Anshu Bhardwaj , Vinod Scaria , Rohit Vashisht , Anup Shah , Anupam Kumar Mondal , Priti Vishnoi , Kumari Sonal , Akanksha Jain , Priyanka Priyadarshini , Kausik Bhattacharyya , Vikas Kumar , Anurag Passi , Pratibha Sharma , Samir Brahmachari

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. More... »

PAGES

21-35

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4614-4966-9_2

DOI

http://dx.doi.org/10.1007/978-1-4614-4966-9_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049710847


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-4966-9_2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-4966-9_2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-4966-9_2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4614-4966-9_2'


 

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