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In silico repositioning of approved drugs and collaboration for rare and neglected diseases Sean Ekins Collaborations in Chemistry, Fuquay Varina, NC. Collaborative Drug Discovery, Burlingame, CA. Department of Pharmacology, University of Medicine & Dentistry of New Jersey-Robert Wood Johnson Medical School, Piscataway, NJ. School of Pharmacy, Department of Pharmaceutical Sciences, University of Maryland, Baltimore, MD.
Abigail Alliance for Better Access to Developmental Drugs Addi & Cassi Fund American Behcet's Disease Association Amschwand Sarcoma Cancer Foundation  BDSRA (Batten Disease Support and Research Association) Beyond Batten Disease Foundation Blake’s Purpose Foundation  Breakthrough Cancer Coalition  Canadian PKU & Allied Disorders Center for Orphan Disease Research and Therapy, University of Pennsylvania Children’s Cardiomyopathy Foundation Cooley's Anemia Foundation Dani’s Foundation  Drew’s Hope Research Foundation  EveryLife Foundation for Rare Diseases GIST Cancer Awareness Foundation Hannah's Hope Fund  Hope4Bridget Foundation Hypertrophic Cardiomyopathy Association - HCMA I Have IIH  ISRMD (International Society for Mannosidosis and Related Diseases) Jacob’s Cure  Jain Foundation Jonah's Just Begun-Foundation to Cure Sanfilippo Inc. Kids V Cancer Kurt+Peter Foundation LGMD2I Research Fund Lymphangiomatosis & Gorham's Disease Alliance  MAGIC Foundation Manton Center for Orphan Disease Research MarbleRoad Mary Payton's Miracle Foundation  Midwest Asian Health Association (MAHA) MPD Support National Gaucher Foundation National MPS Society National Organization Against Rare Cancers  National PKU Alliance National Tay-Sachs & Allied Diseases Association New Hope Research Foundation  NextGEN Policy  Noah's Hope - Batten disease research fund Our Promise to Nicholas Foundation  Oxalosis and Hyperoxaluria Foundation Partnership for Cures  Periodic Paralysis Association RARE Project Ryan Foundation for MPS Children  Sanfilippo Foundation for Children Sarcoma Foundation of America Solving Kids' Cancer  Taylor's Tale:  Fighting Batten Disease  Team Sanfilippo Foundation The Alliance Against Alveolar Soft Part Sarcoma The Life Raft Group  The NOMID Alliance The Transverse Myelitis Association The XLH Network, Inc. United Pompe Foundation Many of these groups are doing R&D on a shoestring how can we help? Just some of the many rare disease groups
Jonah has Sanfilippo Syndrome Jonah’s mum, Jill Wood started a foundation, raises money, awareness, funds ground breaking research happening globally. Willing to sell her house to fund research to save Jonah. She is in a race against time – what can we do to translate ideas from bench to patient faster? How do we get more ideas tested, who funds the research How can we help parents and families ? One example of why Pharmaceutical R&D needs disrupting
How to do it better?  What can we do with software to facilitate it ? The future is more collaborative We have tools but need integration ,[object Object],[object Object],[object Object],[object Object],A starting point is collaboration; software may help 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
Example ; Collaborative Drug Discovery Platform ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],www.collaborativedrug.com
[object Object],[object Object],[object Object],How CDD software has been used: BMGF CDD is a partner on a 5 year project supporting >20 labs and proving cheminformatics support  www.mm4tb.org More Medicines for Tuberculosis
Ekins et al, Trends in Microbiology  19: 65-74, 2011   Fitting into the drug discovery process Insert your disease here…
Searching for TB molecular mimics; collaboration Lamichhane G, et al Mbio, 2: e00301-10, 2011  Modeling – CDD Biology – Johns Hopkins Chemistry – Texas A&M
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ekins et al, Trends in Microbiology Feb 2011 Phase I STTR  -  NIAID funded collaboration with Stanford Research International Sarker et al, submitted 2011
Finding Promiscuous Old Drugs for New Uses ,[object Object],[object Object],[object Object],[object Object],Ekins and Williams, Pharm Res  28(8):1785-91, 2011
Finding Promiscuous Old Drugs for New Uses ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ekins and Williams, Pharm Res  28(8):1785-91, 2011 Analysis of datasets ,[object Object],[object Object],Dataset ALogP Molecular Weight Number of Rotatable Bonds Number of Rings Number of Aromatic Rings Number of Hydrogen bond Acceptors Number of Hydrogen bond Donors Molecular Polar Surface Area Compounds identified  in vitro  with new activities (N = 109)  * 3.1 ± 2.6 428.4 ± 202.8 5.4 ± 3.8 3.8 ± 1.9 2.0 ± 1.4  5.6 ± 4.2  2.0 ± 1.9  89.6 ± 69.3  Compounds identified  in vitro  with multiple new activities (N = 13)  3.6 ± 2.7  442.8 ± 150.0  5.1 ± 3.1 4.2 ± 1.5 1.8 ± 1.2 5.5 ± 4.6 2.2 ± 3.3 79.5 ± 78.8 Orphan designated products with at least one marketing approval for a common disease indication (N = 79)  # 1.4 ± 3.0  b 353.2 ± 218.8  a 5.3 ± 6.4 2.8 ± 1.7  a 1.2 ± 1.3  b 5.3 ± 6.0 2.5 ± 3.0 99.2 ± 110.7 Orphan designated products with at least one marketing approval for a rare disease indication (N = 52)  # 0.9 ± 3.3  b   344.4 ± 233.5  a 5.3 ± 5.3 2.4 ± 1.9  b 1.3 ± 1.4  a 6.2 ± 4.2 2.7 ± 2.8 114.2 ± 85.3
Dataset Intersection Orphan + Common Use Orphan +  Rare use In vitro hits 0 5 3 0 Do these represent frequent actives or promiscuous compounds?
Government Databases Should Come With a Health Warning Openness Can Bring Serious Quality Issues NPC Browser  http://tripod.nih.gov/npc/ Database released and within days 100’s of errors found in structures Williams and Ekins,  DDT, 16: 747-750 (2011) Science Translational Medicine 2011 This work was unfunded Science Translational Medicine 2011
Towards a Gold Standard: Regarding Quality in Public Domain Chemistry Databases and Approaches to Improving the Situation   Antony J. Williams, Sean Ekins and Valery Tkachenko ,  Drug Discovery Today, In Press 2012 Data Errors in the NPC Browser: Analysis of Steroids Substructure # of Hits # of Correct Hits No stereochemistry Incomplete Stereochemistry Complete but incorrect stereochemistry Gonane 34 5 8 21 0 Gon-4-ene 55 12 3 33 7 Gon-1,4-diene 60 17 10 23 10
http://www.slideshare.net/ekinssean Ekins S and Williams AJ, MedChemComm,  1: 325-330, 2010. Need to learn from neglected disease research Do we really need to screen massive libraries of compounds as we have for TB and malaria? And groups are screening compounds already screened by others!
2D Similarity search with “hit” from screening  Export database and use for 3D searching with a pharmacophore or other model Suggest approved  drugs for testing -  may also indicate other uses if it is present in more than one database  Suggest  in silico  hits for  in vitro  screening Key databases of structures and bioactivity data FDA drugs database Repurpose FDA drugs in silico Ekins S, Williams AJ, Krasowski MD and Freundlich JS, Drug Disc Today,  16: 298-310, 2011
PXR antagonist drug discovery ,[object Object],[object Object],[object Object]
PXR Antagonist Pharmacophore ,[object Object],[object Object],[object Object],Ekins et al., Mol Pharmacol 72:592–603, (2007) Huang et al., Oncogene 26: 258-268 (2007), Wang et al., Clin Cancer Res 13: 2488-2495 Hydrophobe / ring aromatic H-bond acceptors Antagonists require a balance between  hydrophobic and hydrogen bonding features.
PXR Antagonist Binding Site/s - Docking Ekins et al., Mol Pharmacol 72:592–603, (2007) 2 separate binding sites on either side of Lys277- identified with GOLD rigid docking in 1NRL chain A azoles would interfere with SRC-1 binding in the AF-2 site. One site is predominantly hydrophobic -15 amino acids.  Lys277 most likely serves as a “charge clamp” for interaction between the co-activator SRC1 (His687) and PXR Azoles compete with SRC-1 for AF-2  Piperazine etc may not be necessary - Solvent exposed
[object Object],[object Object],[object Object],[object Object],PXR Antagonist Database Searching Ekins et al., Mol Pharmacol, 74(3):662-72   , (2008)
PXR Antagonist Database Searching Finds New Hits SPB00574 2.14 24.8 SPB03255 2.22 6.3 Catalyst fit  IC 50  (  M) Further similarity searching retrieved 4 active analogs of SPB03255  Also tested leflunomide – FDA approved drug  6.8   M Ekins et al., Mol Pharmacol, 74(3):662-72   , (2008)
We can do the same for rare diseases: Searching for Potential Chaperones for Sanfilippo Syndrome ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],e.g.  Isofagomine maps pharmacophore
Crowdsourcing Project “Off the Shelf R&D” All pharmas have assets on shelf that reached clinic “ Off the Shelf R&D”  Get the crowd to help in repurposing / repositioning these assets How can software help? - Create communities to test - Provide informatics tools that are accessible to the crowd  - enlarge user base - Data storage on cloud – integration with public data - Crowd becomes virtual pharma-CROs and the “customer” for enabling services
Massive models – using open tools Gupta RR, et al., Drug Metab Dispos, 38: 2083-2090, 2010  Can we get pharmas to share models rather than data – precompetitive? What can be developed with very large training and test sets? training 194,000 and testing 39,000 Open molecular descriptors / models vs commercial descriptors Potential to share models selectively with collaborators e.g. academics, rare & neglected disease researchers Lundbeck Pfizer Merck GSK Novartis Lilly BMS Allergan Bayer AZ Roche BI Merk KGaA
Future Drug Discovery Pharma R&D already looking like this – a big network I think we are seeing something like this with all the orphan disease networks too Massive collaboration networks – software enabled. We are in “Generation App” Crowdsourcing will have a role in R&D. Drug discovery possible by anyone with “app access” Ekins & Williams, Pharm Res, 27: 393-395, 2010.
[object Object],[object Object],[object Object],[object Object],Mobile Apps for Drug Discovery Williams et al DDT  16:928-939, 2011
Apps for collaboration ODDT – Open drug discovery teams Flipboard-like app for aggregating social media for diseases etc Create virtual drug discovery teams link to open notebook science Alex Clark, Molecular Materials Informatics, Inc Williams et al DDT  16:928-939, 2011 Clark et al submitted 2012 Ekins et al submitted 2012
The Evolving Pfizer R&D Ecosystem ,[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],a few months ago we entered into a collaboration with  the giant pharmaceutical industry Pfizer to test some of  their leading molecules for potential relevance to HD.  Found on the internet  http://dl.dropbox.com/u/14511423/VRU.pptx  Body clock mouse study suggests new drug potential Mon, Aug 23 2010 By  Kate Kelland LONDON (Reuters) - Scientists have used experimental drugs being developed by Pfizer to reset and restart the body clock of mice in a lab and say their work may offer clues on a range of human disorders, from jetlag to bipolar disorder.
The newest drug discovery reality Gone full circle Pharma now becoming more like rare disease groups Working on a shoestring, limited resources, leverages academics, partners with disease foundations, funded by them – open innovation Collaboration is a core element If Jill Wood or others can become a virtual pharma, if they have enough domain knowledge and drive Pfizer and other pharmas can be more like Jill, smaller, leaner, working on many more diseases as collaborators In silico approaches and collaboration = central to rare disease drug discovery
Acknowledgments ,[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],[object Object],[object Object],[object Object],[object Object],[object Object]

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Indications discovery and drug repurposing

  • 1. In silico repositioning of approved drugs and collaboration for rare and neglected diseases Sean Ekins Collaborations in Chemistry, Fuquay Varina, NC. Collaborative Drug Discovery, Burlingame, CA. Department of Pharmacology, University of Medicine & Dentistry of New Jersey-Robert Wood Johnson Medical School, Piscataway, NJ. School of Pharmacy, Department of Pharmaceutical Sciences, University of Maryland, Baltimore, MD.
  • 2. Abigail Alliance for Better Access to Developmental Drugs Addi & Cassi Fund American Behcet's Disease Association Amschwand Sarcoma Cancer Foundation BDSRA (Batten Disease Support and Research Association) Beyond Batten Disease Foundation Blake’s Purpose Foundation Breakthrough Cancer Coalition Canadian PKU & Allied Disorders Center for Orphan Disease Research and Therapy, University of Pennsylvania Children’s Cardiomyopathy Foundation Cooley's Anemia Foundation Dani’s Foundation Drew’s Hope Research Foundation EveryLife Foundation for Rare Diseases GIST Cancer Awareness Foundation Hannah's Hope Fund Hope4Bridget Foundation Hypertrophic Cardiomyopathy Association - HCMA I Have IIH ISRMD (International Society for Mannosidosis and Related Diseases) Jacob’s Cure Jain Foundation Jonah's Just Begun-Foundation to Cure Sanfilippo Inc. Kids V Cancer Kurt+Peter Foundation LGMD2I Research Fund Lymphangiomatosis & Gorham's Disease Alliance MAGIC Foundation Manton Center for Orphan Disease Research MarbleRoad Mary Payton's Miracle Foundation Midwest Asian Health Association (MAHA) MPD Support National Gaucher Foundation National MPS Society National Organization Against Rare Cancers National PKU Alliance National Tay-Sachs & Allied Diseases Association New Hope Research Foundation NextGEN Policy Noah's Hope - Batten disease research fund Our Promise to Nicholas Foundation Oxalosis and Hyperoxaluria Foundation Partnership for Cures Periodic Paralysis Association RARE Project Ryan Foundation for MPS Children Sanfilippo Foundation for Children Sarcoma Foundation of America Solving Kids' Cancer Taylor's Tale: Fighting Batten Disease Team Sanfilippo Foundation The Alliance Against Alveolar Soft Part Sarcoma The Life Raft Group The NOMID Alliance The Transverse Myelitis Association The XLH Network, Inc. United Pompe Foundation Many of these groups are doing R&D on a shoestring how can we help? Just some of the many rare disease groups
  • 3. Jonah has Sanfilippo Syndrome Jonah’s mum, Jill Wood started a foundation, raises money, awareness, funds ground breaking research happening globally. Willing to sell her house to fund research to save Jonah. She is in a race against time – what can we do to translate ideas from bench to patient faster? How do we get more ideas tested, who funds the research How can we help parents and families ? One example of why Pharmaceutical R&D needs disrupting
  • 4.
  • 5.
  • 6.
  • 7. Ekins et al, Trends in Microbiology 19: 65-74, 2011 Fitting into the drug discovery process Insert your disease here…
  • 8. Searching for TB molecular mimics; collaboration Lamichhane G, et al Mbio, 2: e00301-10, 2011 Modeling – CDD Biology – Johns Hopkins Chemistry – Texas A&M
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. Dataset Intersection Orphan + Common Use Orphan + Rare use In vitro hits 0 5 3 0 Do these represent frequent actives or promiscuous compounds?
  • 14. Government Databases Should Come With a Health Warning Openness Can Bring Serious Quality Issues NPC Browser http://tripod.nih.gov/npc/ Database released and within days 100’s of errors found in structures Williams and Ekins, DDT, 16: 747-750 (2011) Science Translational Medicine 2011 This work was unfunded Science Translational Medicine 2011
  • 15. Towards a Gold Standard: Regarding Quality in Public Domain Chemistry Databases and Approaches to Improving the Situation Antony J. Williams, Sean Ekins and Valery Tkachenko , Drug Discovery Today, In Press 2012 Data Errors in the NPC Browser: Analysis of Steroids Substructure # of Hits # of Correct Hits No stereochemistry Incomplete Stereochemistry Complete but incorrect stereochemistry Gonane 34 5 8 21 0 Gon-4-ene 55 12 3 33 7 Gon-1,4-diene 60 17 10 23 10
  • 16. http://www.slideshare.net/ekinssean Ekins S and Williams AJ, MedChemComm, 1: 325-330, 2010. Need to learn from neglected disease research Do we really need to screen massive libraries of compounds as we have for TB and malaria? And groups are screening compounds already screened by others!
  • 17. 2D Similarity search with “hit” from screening Export database and use for 3D searching with a pharmacophore or other model Suggest approved drugs for testing - may also indicate other uses if it is present in more than one database Suggest in silico hits for in vitro screening Key databases of structures and bioactivity data FDA drugs database Repurpose FDA drugs in silico Ekins S, Williams AJ, Krasowski MD and Freundlich JS, Drug Disc Today, 16: 298-310, 2011
  • 18.
  • 19.
  • 20. PXR Antagonist Binding Site/s - Docking Ekins et al., Mol Pharmacol 72:592–603, (2007) 2 separate binding sites on either side of Lys277- identified with GOLD rigid docking in 1NRL chain A azoles would interfere with SRC-1 binding in the AF-2 site. One site is predominantly hydrophobic -15 amino acids. Lys277 most likely serves as a “charge clamp” for interaction between the co-activator SRC1 (His687) and PXR Azoles compete with SRC-1 for AF-2 Piperazine etc may not be necessary - Solvent exposed
  • 21.
  • 22. PXR Antagonist Database Searching Finds New Hits SPB00574 2.14 24.8 SPB03255 2.22 6.3 Catalyst fit IC 50 (  M) Further similarity searching retrieved 4 active analogs of SPB03255 Also tested leflunomide – FDA approved drug 6.8  M Ekins et al., Mol Pharmacol, 74(3):662-72 , (2008)
  • 23.
  • 24. Crowdsourcing Project “Off the Shelf R&D” All pharmas have assets on shelf that reached clinic “ Off the Shelf R&D” Get the crowd to help in repurposing / repositioning these assets How can software help? - Create communities to test - Provide informatics tools that are accessible to the crowd - enlarge user base - Data storage on cloud – integration with public data - Crowd becomes virtual pharma-CROs and the “customer” for enabling services
  • 25. Massive models – using open tools Gupta RR, et al., Drug Metab Dispos, 38: 2083-2090, 2010 Can we get pharmas to share models rather than data – precompetitive? What can be developed with very large training and test sets? training 194,000 and testing 39,000 Open molecular descriptors / models vs commercial descriptors Potential to share models selectively with collaborators e.g. academics, rare & neglected disease researchers Lundbeck Pfizer Merck GSK Novartis Lilly BMS Allergan Bayer AZ Roche BI Merk KGaA
  • 26. Future Drug Discovery Pharma R&D already looking like this – a big network I think we are seeing something like this with all the orphan disease networks too Massive collaboration networks – software enabled. We are in “Generation App” Crowdsourcing will have a role in R&D. Drug discovery possible by anyone with “app access” Ekins & Williams, Pharm Res, 27: 393-395, 2010.
  • 27.
  • 28. Apps for collaboration ODDT – Open drug discovery teams Flipboard-like app for aggregating social media for diseases etc Create virtual drug discovery teams link to open notebook science Alex Clark, Molecular Materials Informatics, Inc Williams et al DDT 16:928-939, 2011 Clark et al submitted 2012 Ekins et al submitted 2012
  • 29.
  • 30. The newest drug discovery reality Gone full circle Pharma now becoming more like rare disease groups Working on a shoestring, limited resources, leverages academics, partners with disease foundations, funded by them – open innovation Collaboration is a core element If Jill Wood or others can become a virtual pharma, if they have enough domain knowledge and drive Pfizer and other pharmas can be more like Jill, smaller, leaner, working on many more diseases as collaborators In silico approaches and collaboration = central to rare disease drug discovery
  • 31.

Editor's Notes

  1. CDD Experienced Team Innovates and Executes Barry Bunin, PhD (Pres. & Cofounder as first Eli Lilly EIR) Libraria (CEO, Pres.-CSO), Arris Pharmaceuticals (Sr. Scientist), Genentech, UC Berkeley (Ellman), Columbia University, author. Moses Hohman, PhD (Director Software Engineering) Northwestern Assoc. Director of Bioinformatics, Thoughtworks, Inc., U of Chicago (PhD), Harvard ( magna cum laude, Physics) Sylvia Ernst, PhD (Director Community Growth & Sales) Left 800-lb Gorillas: Accelrys-Scitegic, MDL-Elsevier-Beilstein Peter Cohan (BOD & Overall Sales Strategy) Symyx (VP Bus Dev & President-Discovery Tools), MDL (VP Customer Marketing), www.secondderivative.com, author. Omidyar Network, Founders Fund, & Lilly (BOD observers) WSGR (Corporate Counsel), Rina Accountancy (GAAP compliance) Partners: Hub Consortium Members, ChemAxon, DNDi, MMV, Sandler Center… CDD SAB: Christopher Lipinski PhD, James McKerrow, MD PhD, David Roos PhD, Adam Renslo PhD, Wes Van Voorhis, MD PhD
  2. Text edited
  3. CDD Experienced Team Innovates and Executes Barry Bunin, PhD (Pres. & Cofounder as first Eli Lilly EIR) Libraria (CEO, Pres.-CSO), Arris Pharmaceuticals (Sr. Scientist), Genentech, UC Berkeley (Ellman), Columbia University, author. Moses Hohman, PhD (Director Software Engineering) Northwestern Assoc. Director of Bioinformatics, Thoughtworks, Inc., U of Chicago (PhD), Harvard ( magna cum laude, Physics) Sylvia Ernst, PhD (Director Community Growth & Sales) Left 800-lb Gorillas: Accelrys-Scitegic, MDL-Elsevier-Beilstein Peter Cohan (BOD & Overall Sales Strategy) Symyx (VP Bus Dev & President-Discovery Tools), MDL (VP Customer Marketing), www.secondderivative.com, author. Omidyar Network, Founders Fund, & Lilly (BOD observers) WSGR (Corporate Counsel), Rina Accountancy (GAAP compliance) Partners: Hub Consortium Members, ChemAxon, DNDi, MMV, Sandler Center… CDD SAB: Christopher Lipinski PhD, James McKerrow, MD PhD, David Roos PhD, Adam Renslo PhD, Wes Van Voorhis, MD PhD
  4. CDD Experienced Team Innovates and Executes Barry Bunin, PhD (Pres. & Cofounder as first Eli Lilly EIR) Libraria (CEO, Pres.-CSO), Arris Pharmaceuticals (Sr. Scientist), Genentech, UC Berkeley (Ellman), Columbia University, author. Moses Hohman, PhD (Director Software Engineering) Northwestern Assoc. Director of Bioinformatics, Thoughtworks, Inc., U of Chicago (PhD), Harvard ( magna cum laude, Physics) Sylvia Ernst, PhD (Director Community Growth & Sales) Left 800-lb Gorillas: Accelrys-Scitegic, MDL-Elsevier-Beilstein Peter Cohan (BOD & Overall Sales Strategy) Symyx (VP Bus Dev & President-Discovery Tools), MDL (VP Customer Marketing), www.secondderivative.com, author. Omidyar Network, Founders Fund, & Lilly (BOD observers) WSGR (Corporate Counsel), Rina Accountancy (GAAP compliance) Partners: Hub Consortium Members, ChemAxon, DNDi, MMV, Sandler Center… CDD SAB: Christopher Lipinski PhD, James McKerrow, MD PhD, David Roos PhD, Adam Renslo PhD, Wes Van Voorhis, MD PhD
  5. Added Massive collaboration networks – software enabled. We are in “Generation App”. Crowdsourcing will have a role in R&D. Drug discovery possible by anyone with “app access”