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The Open Drug Discovery Teams (ODDT) Mobile App: A New Way of Sharing Tuberculosis Data Openly

                                                                                    Sean Ekins1 and Alex M. Clark2
   1 Collaborations    in Chemistry, 5616 Hilltop Needmore Road, Fuquay Varina, NC 27526, U.S.A., 2 Molecular Materials Informatics, 1900 St. Jacques #302, Montreal, Quebec,
                                                                                 Canada H3J 2S1.


What is Tuberculosis?
Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis (TB), infecting approximately one-third of the world’s population and resulting in 1.7-1.8 million deaths per year. While there are many
approved drugs active against Mtb new ones are therefore urgently needed to combat this global epidemic that is heavily affected by factors such as resistance to the available regimen of drugs and co-
infection with HIV. A novel TB-focused therapeutic has not been approved in over 40 years and there has been a dramatic increase in interest and funding in this disease over the last decade. We are
involved in collaborative drug discovery efforts for TB and are evaluating technologies to enable this including ways to make the data more open and accessible.

The Open Drug Discovery Teams (ODDT) project uses a free mobile app as user entry point http://tinyurl.com/6l9qy4f. The app has a magazine-like interface, and server-side infrastructure for hosting
chemistry-related data as well as value added services. The project is open to participation from anyone and provides the ability for users to make annotations and assertions, thereby contributing to the
collective value of the data to the engaged community. The infrastructure for the app is currently based upon the Twitter API and uses Google Alerts RSS feeds as a useful proof of concept for a real time
source of publicly generated content.

We now highlight how ODDT can be used as an electronic notebook to share new scientific data on Tuberculosis and engage this research community by following #tuberculosis using Twitter
and Google Alerts. It is quite feasible that in future this disease could standalone as a separate app due to the amount of information created and data that could be shared openly or linked to.

                                                                        Content collected ready                            Tweet molecules in the                       Capture and link to recent news
               @collabchem
                                                                             for viewing                                   clinic or NDA approved                           and papers published
               tweets with
               #tuberculosis

                                                                                                                                                                    B
  Content from web




           The App                                                                                                Multiple pages of content
                                                                                                                      Can be browsed
                                                                  Recent content endorsed

                                                                                                                                                                        Merges Twitter and Web
                                                                                                                                                                          content seamlessly




                      Content ranked by
                       endorsements                              Database of SARs                           View Molecules in other Apps

                                                                                                                                                               View Molecules in ODDT App




                                       Get ODDT here                                               support it!
http://collabchem.com

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The Open Drug Discovery Teams (ODDT) Mobile App: A New Way of Sharing Tuberculosis Data Openly

  • 1. The Open Drug Discovery Teams (ODDT) Mobile App: A New Way of Sharing Tuberculosis Data Openly Sean Ekins1 and Alex M. Clark2 1 Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay Varina, NC 27526, U.S.A., 2 Molecular Materials Informatics, 1900 St. Jacques #302, Montreal, Quebec, Canada H3J 2S1. What is Tuberculosis? Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis (TB), infecting approximately one-third of the world’s population and resulting in 1.7-1.8 million deaths per year. While there are many approved drugs active against Mtb new ones are therefore urgently needed to combat this global epidemic that is heavily affected by factors such as resistance to the available regimen of drugs and co- infection with HIV. A novel TB-focused therapeutic has not been approved in over 40 years and there has been a dramatic increase in interest and funding in this disease over the last decade. We are involved in collaborative drug discovery efforts for TB and are evaluating technologies to enable this including ways to make the data more open and accessible. The Open Drug Discovery Teams (ODDT) project uses a free mobile app as user entry point http://tinyurl.com/6l9qy4f. The app has a magazine-like interface, and server-side infrastructure for hosting chemistry-related data as well as value added services. The project is open to participation from anyone and provides the ability for users to make annotations and assertions, thereby contributing to the collective value of the data to the engaged community. The infrastructure for the app is currently based upon the Twitter API and uses Google Alerts RSS feeds as a useful proof of concept for a real time source of publicly generated content. We now highlight how ODDT can be used as an electronic notebook to share new scientific data on Tuberculosis and engage this research community by following #tuberculosis using Twitter and Google Alerts. It is quite feasible that in future this disease could standalone as a separate app due to the amount of information created and data that could be shared openly or linked to. Content collected ready Tweet molecules in the Capture and link to recent news @collabchem for viewing clinic or NDA approved and papers published tweets with #tuberculosis B Content from web The App Multiple pages of content Can be browsed Recent content endorsed Merges Twitter and Web content seamlessly Content ranked by endorsements Database of SARs View Molecules in other Apps View Molecules in ODDT App Get ODDT here support it! http://collabchem.com