COLLABORATIVE TOOLS TO ACCELERATE NEGLECTED DISEASE RESEARCH: OPEN - SOURCE DRUG DISCOVERY MODEL - Collaborative Computational Technologies for Biomedical Research - page 334

In a nutshell, the OSDD portal enables end-to-end process integration from
ideation to drug discovery. It uses a Web 2.0 technology framework to inte-
grate people, process, and information to facilitate the drug discovery process.
It features a suite of open-source tools for project management or workfl ow
management, laboratory information management, e-learning, and SSO. The
portal features a semantic search tool on the RDF data store, the heart of the
system, and also a microattribution system and algorithm to assign credits to
contributors. The portal is accessible by scientists and researchers from across
the world and the information generated is also available for all registered
members of OSDD.
The changing mode of drug discovery in the open-source model will hope-
fully allow researchers to develop affordable drugs faster in collaboration
rather than institutes or companies working in isolation. Thus, open-source
collaborative platforms such as those described in this chapter provide a new
way to solve challenging problems by community participation.

REFERENCES

1. Payne L , Fitchett JR . Bringing neglected tropical diseases into the spotlight . Trends
Parasitol 2010 ; 26 : 421 - 423 .
2. Lopez AD , Mathers CD . Measuring the global burden of disease and epidemiologi-
cal transitions: 2002 - 2030 . Ann Tropical Med Parasitol 2006 ; 100 : 481 - 499 .
3. Cooper S , Khatib F , Treuille A , Barbero J , Lee J , Beenen M . Predicting protein
structures with a multiplayer online game. Nature 2010 ; 466 : 756 - 760 .
4. Yew WW , Cynamon M , Zhang Y . Emerging drugs for the treatment of tuberculosis .
Expert Opin Emerg Drugs 2010 ; 16 ( 1 ): 1 - 21 .
5. Ashburner M , Ball CA , Blake JA , Botstein D , Butler H , Cherry JM . Gene ontology:
Tool for the unifi cation of biology. The Gene Ontology Consortium. Nat Genet
2000 ; 25 : 25 - 29 .
6. Degtyarenko K , de Matos P , Ennis M , Hastings J , Zbinden M , McNaught A. ChEBI:
A database and ontology for chemical entities of biological interest. Nucleic Acids
Res 2008 ; 36 : D344 - 350 .
7. Smith B , Ashburner M , Rosse C , Bard J , Bug W , Ceusters W . The OBO Foundry:
Coordinated evolution of ontologies to support biomedical data integration. Nat
Biotechnol 2007 ; 25 : 1251 - 1255 .
8. Goecks J , Nekrutenko A , Taylor J . Galaxy: A comprehensive approach for support-
ing accessible, reproducible, and transparent computational research in the life sci-
ences . Genome Biol 2010 ; 11 : R86 .
9. Bhardwaj A , Bhartiya D , Kumar N , Scaria V . TBrowse: An integrative genomics map
of Mycobacterium tuberculosis . Tuberculosis (Edinburgh, Scotland) 2009 ; 89 :

386 - 387 .