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The Discovery of PPAR Ligands Using Parallel Synthesis
Lead Discovery Strategies Low High High Low Knowledge Base Compound Diversity random screening targeted screening database mining focused libraries small pools combinatorial mixtures discrete compounds
Peroxisome Proliferator-Activated Receptors (PPARs) ,[object Object],[object Object],1 liver, kidney, heart PPAR  DNA Ligand 468 1 broadly expressed PPAR  86 70 440 1 adipose, spleen PPAR  83 68 475
PPARs and Metabolic Diseases Subtype PPAR  PPAR  PPAR  Function Triglycerides HDL Glucose ??? Disease CV Risk Factors Type 2 Diabetes ??? Goal: Rapid identification of potent, subtype selective  PPAR ligands
PPAR Profile of Common Fibrates
PPAR Targeted Library Design Z pharmacophore link X Y Diverse monomers  Diverse monomers  pharmacophore link X Y
Retrosynthesis
Resin Loading 25mg of resin = 5mg product (MW=500)
DIC HOBT BH 3 •THF R 2 1 NCO R 2 2 NCO R 2 3 NCO R 2 4 NCO R 2 5 NCO R 2 6 NCO R 2 7 NCO R 2 8 NCO R 1 1 CO 2 H R 1 3 CO 2 H R 1 5 CO 2 H R 1 7 CO 2 H  R 1 9 CO 2 H R 1 2 CO 2 H R 1 4 CO 2 H R 1 6 CO 2 H R 1 8 CO 2 H  R 1 10 CO 2 H 10% TFA Parallel Synthesis of PPAR Ligands Pip/DMF
PPAR Screening Data A B C D E F G H X  (Acids) Y  (Isocyanates) plate 1 plate 2 PPAR  PPAR  PPAR  a b c d e f g h i j k l m n o p q r s t % activation 75-100 50-75 25-50 0-25
PPAR   Deconvolution X Y Pharmacophore PPAR   EC 50  (  M) GW 2433 e e f k n n B G B G B G — — — — — — — — 6.3 2.0 — — 1.9 0.16 6.3 0.25 7.9 1.6
PPAR   Radioligand hPPAR  K d  = 20 nM Bound (nM) 3 H-GW 2433 (nM) GW 2433 Total Specific Non-specific
Thioisobutyric Acids (TIBA) ,[object Object],[object Object],[object Object]
Alternative Synthesis
Resin Loading 0.63 mmole/g  100% Loading
R 1 8 OH  R 1 10 OH R 1 6 OH R 1 5 OH R 1 4 OH R 1 3 OH R 1 1 OH R 1 2 OH DIAD PPh 3 HSCH 2 COOH R 2 1 NCO R 2 2 NCO R 2 3 NCO R 2 4 NCO R 2 5 NCO R 2 6 NCO R 2 7 NCO R 2 8 NCO R 1 7 OH  R 1 9 OH 10% TFA Parallel Synthesis of PPAR Ligands
PPAR Screening Data PPAR  PPAR  GW 9578 PPAR  % activation 75-100 50-75 25-50 0-25 X  (Alcohols) Y  (Isocyanates)
PPAR Profile of GW 9578 GW 9578 Fenofibric Acid 300 14 mPPAR EC 50  (  M) 0.005 18 1.5 250    Sel  GW 9578 Fenofibric Acid 1.4 >300 20 10 hPPAR EC 50  (  M) 0.05 30 1 300    Sel  GW 9578 Fenofibric Acid 2.6 >300
Summary ,[object Object],[object Object],[object Object],[object Object]
PPAR Acknowledgements Medicinal Chemistry Peter Brown Adam Fivush Gordon Hodgson Kevin Hurley Dan Sternbach Bill Stuart Nick Tomkinson Tim Willson Tommaso Messeri Radiochemistry Itzela Correa Shimoga Prakash Structural Chemistry Paul Charifson Tom Consler Bruce Wisely Metabolic Diseases Mike Lewis Deborah Winegar William Oliver Joan Wilson Other Collaborators Jim Chapman  (Univ. South Carolina) Molecular Endocrinology Steve Kliewer Jürgen Lehmann David Morris Kelli Plunket Tracey Smith-Oliver Laura Wade Molecular Biochemistry Steve Blanchard Lisa Miller Derek Parks Lisa Leesnitzer Analytical Chemistry Doug Minick

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Brown San Diego99

  • 1. The Discovery of PPAR Ligands Using Parallel Synthesis
  • 2. Lead Discovery Strategies Low High High Low Knowledge Base Compound Diversity random screening targeted screening database mining focused libraries small pools combinatorial mixtures discrete compounds
  • 3.
  • 4. PPARs and Metabolic Diseases Subtype PPAR  PPAR  PPAR  Function Triglycerides HDL Glucose ??? Disease CV Risk Factors Type 2 Diabetes ??? Goal: Rapid identification of potent, subtype selective PPAR ligands
  • 5. PPAR Profile of Common Fibrates
  • 6. PPAR Targeted Library Design Z pharmacophore link X Y Diverse monomers Diverse monomers pharmacophore link X Y
  • 8. Resin Loading 25mg of resin = 5mg product (MW=500)
  • 9. DIC HOBT BH 3 •THF R 2 1 NCO R 2 2 NCO R 2 3 NCO R 2 4 NCO R 2 5 NCO R 2 6 NCO R 2 7 NCO R 2 8 NCO R 1 1 CO 2 H R 1 3 CO 2 H R 1 5 CO 2 H R 1 7 CO 2 H R 1 9 CO 2 H R 1 2 CO 2 H R 1 4 CO 2 H R 1 6 CO 2 H R 1 8 CO 2 H R 1 10 CO 2 H 10% TFA Parallel Synthesis of PPAR Ligands Pip/DMF
  • 10. PPAR Screening Data A B C D E F G H X (Acids) Y (Isocyanates) plate 1 plate 2 PPAR  PPAR  PPAR  a b c d e f g h i j k l m n o p q r s t % activation 75-100 50-75 25-50 0-25
  • 11. PPAR  Deconvolution X Y Pharmacophore PPAR  EC 50 (  M) GW 2433 e e f k n n B G B G B G — — — — — — — — 6.3 2.0 — — 1.9 0.16 6.3 0.25 7.9 1.6
  • 12. PPAR  Radioligand hPPAR  K d = 20 nM Bound (nM) 3 H-GW 2433 (nM) GW 2433 Total Specific Non-specific
  • 13.
  • 15. Resin Loading 0.63 mmole/g 100% Loading
  • 16. R 1 8 OH R 1 10 OH R 1 6 OH R 1 5 OH R 1 4 OH R 1 3 OH R 1 1 OH R 1 2 OH DIAD PPh 3 HSCH 2 COOH R 2 1 NCO R 2 2 NCO R 2 3 NCO R 2 4 NCO R 2 5 NCO R 2 6 NCO R 2 7 NCO R 2 8 NCO R 1 7 OH R 1 9 OH 10% TFA Parallel Synthesis of PPAR Ligands
  • 17. PPAR Screening Data PPAR  PPAR  GW 9578 PPAR  % activation 75-100 50-75 25-50 0-25 X (Alcohols) Y (Isocyanates)
  • 18. PPAR Profile of GW 9578 GW 9578 Fenofibric Acid 300 14 mPPAR EC 50 (  M) 0.005 18 1.5 250    Sel  GW 9578 Fenofibric Acid 1.4 >300 20 10 hPPAR EC 50 (  M) 0.05 30 1 300    Sel  GW 9578 Fenofibric Acid 2.6 >300
  • 19.
  • 20. PPAR Acknowledgements Medicinal Chemistry Peter Brown Adam Fivush Gordon Hodgson Kevin Hurley Dan Sternbach Bill Stuart Nick Tomkinson Tim Willson Tommaso Messeri Radiochemistry Itzela Correa Shimoga Prakash Structural Chemistry Paul Charifson Tom Consler Bruce Wisely Metabolic Diseases Mike Lewis Deborah Winegar William Oliver Joan Wilson Other Collaborators Jim Chapman (Univ. South Carolina) Molecular Endocrinology Steve Kliewer Jürgen Lehmann David Morris Kelli Plunket Tracey Smith-Oliver Laura Wade Molecular Biochemistry Steve Blanchard Lisa Miller Derek Parks Lisa Leesnitzer Analytical Chemistry Doug Minick

Notas del editor

  1. By far the easiest way to encourage your colleagues to use new technologies is to demonstrate significant advances which are enabled by these new methods. Today, I will be describing some work which shows how the solid-phase synthesis of small pools of compounds has enabled the discovery of PPAR ligands.