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Sean Ekins

Partnering 4 cures meeting slides presented nov 7 201

Salud y medicina Tecnología Empresariales

Collaborative Drug Discovery: An Alternative Business Model For Drug Discovery Sean Ekins, M.Sc., Ph.D., D.Sc. Collaborations Director, Collaborative Drug Discovery, Inc.

Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Overview: Sharing data and models to speed up drug discovery ,[object Object],[object Object],[object Object],[object Object],[object Object]

A Starting Point For A New Research Era? How to do it better? Openness What can we do with software to facilitate it ? Make it Open The future is more collaborative and Open We have tools but need integration Open interfaces A core root of the current inefficiencies in drug discovery are due to organizations’ and individual’s barriers to collaborate effectively Bunin & Ekins DDT 16: 643-645, 2011 ,[object Object],[object Object],[object Object]

How Can Collaborative Software Help? ,[object Object],[object Object],[object Object],[object Object]

About CDD ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Collaboration 1. Needs ,[object Object],[object Object],[object Object],[object Object],[object Object]

Collaboration 1. Strategy ,[object Object],[object Object],[object Object],Gupta RR, et al., Drug Metab Dispos, 38: 2083-2090, 2010

Collaboration 1. Opportunity ,[object Object],[object Object],[object Object],[object Object],[object Object]

Collaboration 1. Future - Gain more by sharing more Combining models may give greater coverage of ADME/ Tox chemistry space and improve predictions? ,[object Object],[object Object],[object Object],[object Object],Models Inside company Collaborators Commercial Descriptors Algorithms In house data generation Data Databases, servers Current investments Software >$1M/yr Data >$10-100’s M/yr Lundbeck Pfizer Merck GSK Novartis Lilly BMS Allergan Bayer AZ Roche BI Merk KGaA

Collaboration 2. ,[object Object],[object Object],[object Object]

Collaboration 2. ,[object Object],[object Object],[object Object],100K library Novartis Data FDA drugs Suggests models can predict data from the same and independent labs Initial enrichment – enables screening few compounds to find actives Ekins and Freundlich, Pharm Res. 2011 Ekins et al., Mol BioSyst, 6: 840-851, 2010

Collaboration 3. ,[object Object],[object Object],[object Object],[object Object]

Collaboration 4. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ekins et al, Trends in Microbiology Feb 2011 Ekins et al, Trends in Microbiology Feb 2011 a.

A complex ecosystem of collaborations: A new business model Bunin & Ekins DDT 16: 643-645, 2011 Inside Company Collaborators Inside Academia Collaborators Molecules, Models, Data Molecules, Models, Data Inside Foundation Collaborators Molecules, Models, Data Inside Government Collaborators Molecules, Models, Data IP IP IP IP Shared IP Collaborative platform/s

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Current and Future Milestones Williams et al, Drug Disc Today, 16:928-939, 2011

Off The Shelf Drug Discovery ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Key Partners ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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