Using Data Visualization in Public Health Communications
Using the CDD Vault for MM4TB
1. Using the CDD Vault for MM4TB
Sean Ekins PhD, DSc.
CSO, Collaborative Drug Discovery, Inc
Burlingame, CA
2. The Exploitation pathway…
Torbjörn Ingemansson
European Commission
Sean Ekins
Collaborative Drug Discovery, Inc.
Claire Skentelbery
European Biotechnology Network
Bonny Harbinger
National Institutes of Health
3. “by provisioning the right amount of storage and compute resources, cost can be significantly
reduced with no significant impact on application performance”
4. CDD- a decade of drug
discovery collaborations2004 - present
SaaS
Easy to use
Used by Academia
Industry, Biotech
Private
Selective
collaboration
100’s of published
datasets
6. NIH funded STTR collaboration
Some
collaborations
outside also
1R41AI088893-01
2R42AI088893-02
Developing molecules for TB
Using computational data mining
New technologies for TB drug discovery
7. From Desktop to Mobile apps – making data accessible
Clark et al., submitted 2014
Predict targets
http://goo.gl/vPOKS
http://goo.gl/iDJFR
8. Drug discovery is repetitive and there are 1000s of diseases
Drug discovery is high risk
Do we need robots or just smarter programs that discover the ideas we test?
9. 24 groups in this project use a single
Participants from India, Russia, South Africa, Europe, USA
10. TB Drug Accelerator
Another example of a big TB collaboration
7 Big Pharma and 4 academic institutes will open up targeted sections of their compound
libraries and share data with each other.
• Abbott
• AstraZeneca
• Bayer
• Eli Lilly
• GlaxoSmithKline
• Merck
• Sanofi
• Infectious Disease Research Institute (IDRI)
• NIH National Institute of Allergy and
Infectious Diseases
• Texas A&M University
• Weill Cornell Medical College
11. The Big Picture
• This did not happen overnight – 10 years to get here!
• Collaboration and selective secure sharing is key – move
ideas and data – to clinical compounds
• Domain expertise in drug discovery
• Bring scientists together globally
• Grants can accelerate / catalyze collaboration
• Grants can fund further technology development
• Impact how we develop therapies
Notas del editor
CDD is 10 yrs old
SaaS is not new
Being on cloud, personal cloud is not new
Sharing data , collaborations is not new
We were first, we helped build foundation
What we do next is important and depends on you
Molecules and biology e.g. PubChem
Molecules and analytical data e.g. ChemSpider
These are massive..primarily look ups - not private ....not CDD
Standalone, little integration and lots of errors
Need to use caution
CDD has lots of public data
How to expose high value data
How to create addition high value datasets
TB molecules and targets
TB in vivo mouse data
We developed a mobile app yrs before any of our competitors
Easy use
Expose user to data
CDD brand recognition
Start something that can grow
App becomes way to fast prototype ideas
Data visualization, output