SlideShare a Scribd company logo
Open Drug Discovery Teams - Pitch to Sponsors
                                                          Dr. Sean Ekins
                         Collaborations in Chemistry, A division of Collaborations in Communications, Inc.

                                                       Dr. Alex M. Clark
                                               Molecular Materials Informatics, Inc.

Project Description
The Open Drug Discovery Teams (ODDT) project is a mobile app primarily intended as a research topic aggregator
of open science data integrated from various sources on the internet. It exists to facilitate interdisciplinary teamwork
and to relieve the user from data overload. Research topics include areas of chemistry and adjacent molecule-
oriented biomedical sciences, with an emphasis on those which are most amenable to open research at present.
These include rare and neglected diseases, and precompetitive and public-good initiatives such as green chemistry.
The ODDT project uses a free mobile app for iOS-based devices (iPhone, iPod and iPad) as the hub. The app has a
Flipboard-inspired interface, and serverside infrastructure for hosting data and value added services. The project is
open to participation from anyone, and much of the content is derived from public sources but is amenable to
commercial data input. The technology could also be readily used in house by pharmaceutical and other
organizations that could integrate internal and external science and discussion. Much of the initial infrastructure for
the app is currently based upon the Twitter API, which provides a real-time source of public content. This could be
extended further with addition of other APIs. As the project evolves, social networking features will be developed
for organising participants into teams, with various forms of communication and content management possible.




Value Proposition
The project is intended to bring together open data in a single aggregated collection, and then facilitate forming open
research teams around this data, which consists of individual researchers in academia and industry, and other
interested parties, including the general public who have a desire to be kept current with a particular subject area. By
assembling a focused group of disparate individuals and organisations scattered about the globe, the opportunity
exists to disseminate important information to a highly relevant target audience. This includes information about
new scientific developments of interest, to network and discover other researchers with complementary interests,
and opportunities to collaborate in other ways such as highlighting conferences, new initiatives, publications or
laboratory data sharing. As the software collection evolves and improves in its capabilities, data from open science
will be integrated and made usable within a common framework. Team members will be able to borrow and reuse a
growing collection of existing data. Networking and collaboration features will be introduced, allowing researchers
to post incomplete or speculative data, while other researchers fill in missing details, and the community as a whole
can debate, contest or endorse data based on its quality. The app could also be used as a type of “lab notebook”
whereby individual researchers share links (URLs) to content and the app aggregates these.
Benefits of Sponsorship
ODDT could be used for targeted marketing to increase organisation visibility to researchers and reach potential new
members, such as academics. Organisation could sponsor informatics related subject hash tags of choice. ODDT is a
new tool that will have buzz associated with a cutting edge App that is freely available. The Green Solvents App had
2500 downloads in 6 months. Organization will receive brand recognition for being a motivating force behind this
App. This would also be an ideal example to highlight the organization as at the forefront of science communication
through mobile Apps.

More Related Content

What's hot

The State of Open Data Report by @figshare
The State of Open Data Report  by @figshareThe State of Open Data Report  by @figshare
The State of Open Data Report by @figshare
eraser Juan José Calderón
 
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Tom Plasterer
 
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Tom Plasterer
 
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...
Tom Plasterer
 
Open PHACTS for BDE SC1.1
Open PHACTS for BDE SC1.1Open PHACTS for BDE SC1.1
Open PHACTS for BDE SC1.1
BigData_Europe
 
FAIR Data Knowledge Graphs–from Theory to Practice
FAIR Data Knowledge Graphs–from Theory to PracticeFAIR Data Knowledge Graphs–from Theory to Practice
FAIR Data Knowledge Graphs–from Theory to Practice
Tom Plasterer
 
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 
Semantics and linked data at astra zeneca
Semantics and linked data at astra zenecaSemantics and linked data at astra zeneca
Semantics and linked data at astra zeneca
Kerstin Forsberg
 
FAIR Data Knowledge Graphs
FAIR Data Knowledge GraphsFAIR Data Knowledge Graphs
FAIR Data Knowledge Graphs
Tom Plasterer
 
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...
GigaScience, BGI Hong Kong
 
Collaboraive sharing of molecules and data in the mobile age
Collaboraive sharing of molecules and data in the mobile ageCollaboraive sharing of molecules and data in the mobile age
Collaboraive sharing of molecules and data in the mobile age
Sean Ekins
 
Pistoia Alliance USA Conference 2016
Pistoia Alliance USA Conference 2016Pistoia Alliance USA Conference 2016
Pistoia Alliance USA Conference 2016
Pistoia Alliance
 
Linked data in pharma
Linked data in pharmaLinked data in pharma
Linked data in pharma
Kerstin Forsberg
 
Data Science for the Win
Data Science for the WinData Science for the Win
Data Science for the Win
Michel Dumontier
 
Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...
Michel Dumontier
 
Pistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance conference April 2016: Big Data: Eric LittlePistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance
 
BioPharma and FAIR Data, a Collaborative Advantage
BioPharma and FAIR Data, a Collaborative AdvantageBioPharma and FAIR Data, a Collaborative Advantage
BioPharma and FAIR Data, a Collaborative Advantage
Tom Plasterer
 
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
open_phacts
 
Linked Data for Biopharma
Linked Data for BiopharmaLinked Data for Biopharma
Linked Data for Biopharma
Tom Plasterer
 
The NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAGThe NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAG
Philip Bourne
 

What's hot (20)

The State of Open Data Report by @figshare
The State of Open Data Report  by @figshareThe State of Open Data Report  by @figshare
The State of Open Data Report by @figshare
 
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
Harnessing Edge Informatics to Accelerate Collaboration in BioPharma (Bio-IT ...
 
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
 
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...
Edge Informatics and FAIR (Findable, Accessible, Interoperable and Reusable) ...
 
Open PHACTS for BDE SC1.1
Open PHACTS for BDE SC1.1Open PHACTS for BDE SC1.1
Open PHACTS for BDE SC1.1
 
FAIR Data Knowledge Graphs–from Theory to Practice
FAIR Data Knowledge Graphs–from Theory to PracticeFAIR Data Knowledge Graphs–from Theory to Practice
FAIR Data Knowledge Graphs–from Theory to Practice
 
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
 
Semantics and linked data at astra zeneca
Semantics and linked data at astra zenecaSemantics and linked data at astra zeneca
Semantics and linked data at astra zeneca
 
FAIR Data Knowledge Graphs
FAIR Data Knowledge GraphsFAIR Data Knowledge Graphs
FAIR Data Knowledge Graphs
 
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...
From Deadly E. coli to Endangered Polar Bear: GigaScience Provides First Cita...
 
Collaboraive sharing of molecules and data in the mobile age
Collaboraive sharing of molecules and data in the mobile ageCollaboraive sharing of molecules and data in the mobile age
Collaboraive sharing of molecules and data in the mobile age
 
Pistoia Alliance USA Conference 2016
Pistoia Alliance USA Conference 2016Pistoia Alliance USA Conference 2016
Pistoia Alliance USA Conference 2016
 
Linked data in pharma
Linked data in pharmaLinked data in pharma
Linked data in pharma
 
Data Science for the Win
Data Science for the WinData Science for the Win
Data Science for the Win
 
Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...
 
Pistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance conference April 2016: Big Data: Eric LittlePistoia Alliance conference April 2016: Big Data: Eric Little
Pistoia Alliance conference April 2016: Big Data: Eric Little
 
BioPharma and FAIR Data, a Collaborative Advantage
BioPharma and FAIR Data, a Collaborative AdvantageBioPharma and FAIR Data, a Collaborative Advantage
BioPharma and FAIR Data, a Collaborative Advantage
 
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
2015-04-28 Open PHACTS at Swedish Linked Data Network Meet-up
 
Linked Data for Biopharma
Linked Data for BiopharmaLinked Data for Biopharma
Linked Data for Biopharma
 
The NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAGThe NIH as a Digital Enterprise: Implications for PAG
The NIH as a Digital Enterprise: Implications for PAG
 

Similar to Pitch for Open Drug Discovery teams

Open source from science to society
Open source from science to societyOpen source from science to society
Open source from science to society
Somerco Research
 
ODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amc
Sean Ekins
 
Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...
Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...
Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...
Sean Ekins
 
Open drug discovery teams alpha flier 1.0-amc
Open drug discovery teams  alpha flier 1.0-amcOpen drug discovery teams  alpha flier 1.0-amc
Open drug discovery teams alpha flier 1.0-amc
Sean Ekins
 
Open Notebook Science and One Future for Scientific Research
Open Notebook Science and One Future for Scientific ResearchOpen Notebook Science and One Future for Scientific Research
Open Notebook Science and One Future for Scientific Research
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 
Collaborative Computational Technologies for Biomedical Research: An Enabler ...
Collaborative Computational Technologies for Biomedical Research: An Enabler ...Collaborative Computational Technologies for Biomedical Research: An Enabler ...
Collaborative Computational Technologies for Biomedical Research: An Enabler ...
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The HyveOpen Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
Kees van Bochove
 
Acs collaborative computational technologies for biomedical research an enabl...
Acs collaborative computational technologies for biomedical research an enabl...Acs collaborative computational technologies for biomedical research an enabl...
Acs collaborative computational technologies for biomedical research an enabl...
Sean Ekins
 
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"eventSusanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
GigaScience, BGI Hong Kong
 
Jisc visions: research
Jisc visions: researchJisc visions: research
Jisc visions: research
Jisc
 
Open science curriculum for students, June 2019
Open science curriculum for students, June 2019Open science curriculum for students, June 2019
Open science curriculum for students, June 2019
Dag Endresen
 
Leveraging the power of the web - Open Repositories 2015
Leveraging the power of the web - Open Repositories 2015Leveraging the power of the web - Open Repositories 2015
Leveraging the power of the web - Open Repositories 2015
Kaitlin Thaney
 
Open science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The HyveOpen science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The Hyve
Kees van Bochove
 
Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...
African Open Science Platform
 
Almaden presentation 15-dec-2015
Almaden presentation 15-dec-2015Almaden presentation 15-dec-2015
Almaden presentation 15-dec-2015
Paul Courtney
 
Mobile apps for chemistry in the world of drug discovery
Mobile apps for chemistry in the world of drug discoveryMobile apps for chemistry in the world of drug discovery
Open Drug Discovery Teams user guide beta version 0.9
Open Drug Discovery Teams user guide beta version 0.9Open Drug Discovery Teams user guide beta version 0.9
Open Drug Discovery Teams user guide beta version 0.9
Sean Ekins
 
Linked data in pharma R&D
Linked data in pharma R&DLinked data in pharma R&D
Linked data in pharma R&D
Kerstin Forsberg
 
OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)
OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)
OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)
OpenAIRE
 
Ilik - Beyond the Manuscript: Using IRs for Non Traditional Content Types
Ilik - Beyond the Manuscript: Using IRs for Non Traditional Content TypesIlik - Beyond the Manuscript: Using IRs for Non Traditional Content Types
Ilik - Beyond the Manuscript: Using IRs for Non Traditional Content Types
National Information Standards Organization (NISO)
 

Similar to Pitch for Open Drug Discovery teams (20)

Open source from science to society
Open source from science to societyOpen source from science to society
Open source from science to society
 
ODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amcODDT beta-user guide-v0.9.12amc
ODDT beta-user guide-v0.9.12amc
 
Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...
Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...
Collaborative Mobile Apps Using Social Media and Appifying Data For Drug Disc...
 
Open drug discovery teams alpha flier 1.0-amc
Open drug discovery teams  alpha flier 1.0-amcOpen drug discovery teams  alpha flier 1.0-amc
Open drug discovery teams alpha flier 1.0-amc
 
Open Notebook Science and One Future for Scientific Research
Open Notebook Science and One Future for Scientific ResearchOpen Notebook Science and One Future for Scientific Research
Open Notebook Science and One Future for Scientific Research
 
Collaborative Computational Technologies for Biomedical Research: An Enabler ...
Collaborative Computational Technologies for Biomedical Research: An Enabler ...Collaborative Computational Technologies for Biomedical Research: An Enabler ...
Collaborative Computational Technologies for Biomedical Research: An Enabler ...
 
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The HyveOpen Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
 
Acs collaborative computational technologies for biomedical research an enabl...
Acs collaborative computational technologies for biomedical research an enabl...Acs collaborative computational technologies for biomedical research an enabl...
Acs collaborative computational technologies for biomedical research an enabl...
 
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"eventSusanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
 
Jisc visions: research
Jisc visions: researchJisc visions: research
Jisc visions: research
 
Open science curriculum for students, June 2019
Open science curriculum for students, June 2019Open science curriculum for students, June 2019
Open science curriculum for students, June 2019
 
Leveraging the power of the web - Open Repositories 2015
Leveraging the power of the web - Open Repositories 2015Leveraging the power of the web - Open Repositories 2015
Leveraging the power of the web - Open Repositories 2015
 
Open science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The HyveOpen science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The Hyve
 
Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...
 
Almaden presentation 15-dec-2015
Almaden presentation 15-dec-2015Almaden presentation 15-dec-2015
Almaden presentation 15-dec-2015
 
Mobile apps for chemistry in the world of drug discovery
Mobile apps for chemistry in the world of drug discoveryMobile apps for chemistry in the world of drug discovery
Mobile apps for chemistry in the world of drug discovery
 
Open Drug Discovery Teams user guide beta version 0.9
Open Drug Discovery Teams user guide beta version 0.9Open Drug Discovery Teams user guide beta version 0.9
Open Drug Discovery Teams user guide beta version 0.9
 
Linked data in pharma R&D
Linked data in pharma R&DLinked data in pharma R&D
Linked data in pharma R&D
 
OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)
OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)
OpenAIRE factsheet: Open Access in Horizon 2020 (for Research Administrators)
 
Ilik - Beyond the Manuscript: Using IRs for Non Traditional Content Types
Ilik - Beyond the Manuscript: Using IRs for Non Traditional Content TypesIlik - Beyond the Manuscript: Using IRs for Non Traditional Content Types
Ilik - Beyond the Manuscript: Using IRs for Non Traditional Content Types
 

More from Sean Ekins

How to Win a small business grant.pptx
How to Win a small business grant.pptxHow to Win a small business grant.pptx
How to Win a small business grant.pptx
Sean Ekins
 
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...
Sean Ekins
 
A presentation at the Global Genes rare drug development symposium on governm...
A presentation at the Global Genes rare drug development symposium on governm...A presentation at the Global Genes rare drug development symposium on governm...
A presentation at the Global Genes rare drug development symposium on governm...
Sean Ekins
 
Leveraging Science Communication and Social Media to Build Your Brand and Ele...
Leveraging Science Communication and Social Media to Build Your Brand and Ele...Leveraging Science Communication and Social Media to Build Your Brand and Ele...
Leveraging Science Communication and Social Media to Build Your Brand and Ele...
Sean Ekins
 
Bayesian Models for Chagas Disease
Bayesian Models for Chagas DiseaseBayesian Models for Chagas Disease
Bayesian Models for Chagas Disease
Sean Ekins
 
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...
Sean Ekins
 
Drug Discovery Today March 2017 special issue
Drug Discovery Today March 2017 special issueDrug Discovery Today March 2017 special issue
Drug Discovery Today March 2017 special issue
Sean Ekins
 
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan DiseasesUsing In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases
Sean Ekins
 
Five Ways to Use Social Media to Raise Awareness for Your Paper or Research
Five Ways to Use Social Media to Raise Awareness for Your Paper or ResearchFive Ways to Use Social Media to Raise Awareness for Your Paper or Research
Five Ways to Use Social Media to Raise Awareness for Your Paper or Research
Sean Ekins
 
Open zika presentation
Open zika presentation Open zika presentation
Open zika presentation
Sean Ekins
 
academic / small company collaborations for rare and neglected diseasesv2
 academic / small company collaborations for rare and neglected diseasesv2 academic / small company collaborations for rare and neglected diseasesv2
academic / small company collaborations for rare and neglected diseasesv2
Sean Ekins
 
CDD models case study #3
CDD models case study #3 CDD models case study #3
CDD models case study #3
Sean Ekins
 
CDD models case study #2
CDD models case study #2 CDD models case study #2
CDD models case study #2
Sean Ekins
 
CDD Models case study #1
CDD Models case study #1 CDD Models case study #1
CDD Models case study #1
Sean Ekins
 
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Sean Ekins
 
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...
Sean Ekins
 
The future of computational chemistry b ig
The future of computational chemistry b igThe future of computational chemistry b ig
The future of computational chemistry b ig
Sean Ekins
 
#ZikaOpen: Homology Models -
#ZikaOpen: Homology Models - #ZikaOpen: Homology Models -
#ZikaOpen: Homology Models -
Sean Ekins
 
Slas talk 2016
Slas talk 2016Slas talk 2016
Slas talk 2016
Sean Ekins
 
Pros and cons of social networking for scientists
Pros and cons of social networking for scientistsPros and cons of social networking for scientists
Pros and cons of social networking for scientists
Sean Ekins
 

More from Sean Ekins (20)

How to Win a small business grant.pptx
How to Win a small business grant.pptxHow to Win a small business grant.pptx
How to Win a small business grant.pptx
 
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic To...
 
A presentation at the Global Genes rare drug development symposium on governm...
A presentation at the Global Genes rare drug development symposium on governm...A presentation at the Global Genes rare drug development symposium on governm...
A presentation at the Global Genes rare drug development symposium on governm...
 
Leveraging Science Communication and Social Media to Build Your Brand and Ele...
Leveraging Science Communication and Social Media to Build Your Brand and Ele...Leveraging Science Communication and Social Media to Build Your Brand and Ele...
Leveraging Science Communication and Social Media to Build Your Brand and Ele...
 
Bayesian Models for Chagas Disease
Bayesian Models for Chagas DiseaseBayesian Models for Chagas Disease
Bayesian Models for Chagas Disease
 
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Lea...
 
Drug Discovery Today March 2017 special issue
Drug Discovery Today March 2017 special issueDrug Discovery Today March 2017 special issue
Drug Discovery Today March 2017 special issue
 
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan DiseasesUsing In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases
 
Five Ways to Use Social Media to Raise Awareness for Your Paper or Research
Five Ways to Use Social Media to Raise Awareness for Your Paper or ResearchFive Ways to Use Social Media to Raise Awareness for Your Paper or Research
Five Ways to Use Social Media to Raise Awareness for Your Paper or Research
 
Open zika presentation
Open zika presentation Open zika presentation
Open zika presentation
 
academic / small company collaborations for rare and neglected diseasesv2
 academic / small company collaborations for rare and neglected diseasesv2 academic / small company collaborations for rare and neglected diseasesv2
academic / small company collaborations for rare and neglected diseasesv2
 
CDD models case study #3
CDD models case study #3 CDD models case study #3
CDD models case study #3
 
CDD models case study #2
CDD models case study #2 CDD models case study #2
CDD models case study #2
 
CDD Models case study #1
CDD Models case study #1 CDD Models case study #1
CDD Models case study #1
 
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
 
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists ...
 
The future of computational chemistry b ig
The future of computational chemistry b igThe future of computational chemistry b ig
The future of computational chemistry b ig
 
#ZikaOpen: Homology Models -
#ZikaOpen: Homology Models - #ZikaOpen: Homology Models -
#ZikaOpen: Homology Models -
 
Slas talk 2016
Slas talk 2016Slas talk 2016
Slas talk 2016
 
Pros and cons of social networking for scientists
Pros and cons of social networking for scientistsPros and cons of social networking for scientists
Pros and cons of social networking for scientists
 

Recently uploaded

Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Vladimir Iglovikov, Ph.D.
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
SOFTTECHHUB
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 

Recently uploaded (20)

Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 

Pitch for Open Drug Discovery teams

  • 1. Open Drug Discovery Teams - Pitch to Sponsors Dr. Sean Ekins Collaborations in Chemistry, A division of Collaborations in Communications, Inc. Dr. Alex M. Clark Molecular Materials Informatics, Inc. Project Description The Open Drug Discovery Teams (ODDT) project is a mobile app primarily intended as a research topic aggregator of open science data integrated from various sources on the internet. It exists to facilitate interdisciplinary teamwork and to relieve the user from data overload. Research topics include areas of chemistry and adjacent molecule- oriented biomedical sciences, with an emphasis on those which are most amenable to open research at present. These include rare and neglected diseases, and precompetitive and public-good initiatives such as green chemistry. The ODDT project uses a free mobile app for iOS-based devices (iPhone, iPod and iPad) as the hub. The app has a Flipboard-inspired interface, and serverside infrastructure for hosting data and value added services. The project is open to participation from anyone, and much of the content is derived from public sources but is amenable to commercial data input. The technology could also be readily used in house by pharmaceutical and other organizations that could integrate internal and external science and discussion. Much of the initial infrastructure for the app is currently based upon the Twitter API, which provides a real-time source of public content. This could be extended further with addition of other APIs. As the project evolves, social networking features will be developed for organising participants into teams, with various forms of communication and content management possible. Value Proposition The project is intended to bring together open data in a single aggregated collection, and then facilitate forming open research teams around this data, which consists of individual researchers in academia and industry, and other interested parties, including the general public who have a desire to be kept current with a particular subject area. By assembling a focused group of disparate individuals and organisations scattered about the globe, the opportunity exists to disseminate important information to a highly relevant target audience. This includes information about new scientific developments of interest, to network and discover other researchers with complementary interests, and opportunities to collaborate in other ways such as highlighting conferences, new initiatives, publications or laboratory data sharing. As the software collection evolves and improves in its capabilities, data from open science will be integrated and made usable within a common framework. Team members will be able to borrow and reuse a growing collection of existing data. Networking and collaboration features will be introduced, allowing researchers to post incomplete or speculative data, while other researchers fill in missing details, and the community as a whole can debate, contest or endorse data based on its quality. The app could also be used as a type of “lab notebook” whereby individual researchers share links (URLs) to content and the app aggregates these. Benefits of Sponsorship ODDT could be used for targeted marketing to increase organisation visibility to researchers and reach potential new members, such as academics. Organisation could sponsor informatics related subject hash tags of choice. ODDT is a new tool that will have buzz associated with a cutting edge App that is freely available. The Green Solvents App had 2500 downloads in 6 months. Organization will receive brand recognition for being a motivating force behind this App. This would also be an ideal example to highlight the organization as at the forefront of science communication through mobile Apps.