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Identifying CNS drugs requires unique considerations beyond efficacy ,[object Object],[object Object],[object Object],[object Object],Quantification LogBB = comparison of brain, plasma concentrations Relative bioavailability %F = [AUC po ] / [AUC iv ] Molecular properties influence how drugs are absorbed, how they are distributed,  how they interact with transporters and metabolizing enzymes Absorption Metabolism Tissue Distribution Time [Drug]
Case study: Antihistamine CNS bioavailability changes impact adverse events ,[object Object],[object Object],[object Object],[object Object],DIPHENHYDRAMINE FEXOFENADINE Brain penetrant Avoids penetrating CNS Antihistamines lacking sedative properties tend to possess limited CNS bioavailability compared to antihistamines with drowsiness Obradovic T et al. (2007)  Pharm Res,  24 , 318-327.  Avoids P-glycoprotein efflux P-glycoprotein substrate
Case study: CYP2D6 metabolism alters bioavailability, impacts safety/efficacy ,[object Object],[object Object],CYP2D6 phenotype correlates with  disease progression in breast cancer Morphine toxicity risk with UM phenotype; Poor efficacy with PM phenotype CODEINE MORPHINE CYP2D6 “ Ultra-rapid” metabolizer phenotype “ Poor” metabolizer phenotype Increased CYP2D6 function Decreased CYP2D6 function TAMOXIFEN 4-HYDROXY TAMOXIFEN CYP2D6 “ Ultra-rapid” metabolizer phenotype “ Poor” metabolizer phenotype Increased CYP2D6 function Decreased CYP2D6 function
Bioavailability…it’s a big deal! So, what can you do to find compounds that are bioavailable? Hint:  you don’t need to do in vivo testing just yet..
Molecular Properties 101:  Physical properties influence how drugs interact with the body ,[object Object],Absorption :  Will the drug penetrate across the GI tract to the circulatory system? Distribution :  Will the drug remain soluble in the blood? Will it remain bound to plasma proteins? Metabolism : Will the drug be chemically modified by CYPs? How much will be available to get to the target? Excretion :  How will the body eliminate the drug? *Modifying one property has consequences on others Figure modified from van de Waterbeemd H. (2009) Chem Biodiv,  6 , 1760-1766. SOLUBILITY Charge Ionization Dissolution LIPOPHILICITY SIZE H-Bonding Shape Amphiphilicity Charge Distribution LogP MW PSA
Improving the odds:  Using properties guidelines can increase bioavailability odds ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CAVEAT:  The Ro5 is NOT CNS specific! Gleevec (imatinib) LogP 2.89  MW 493.6  PSA 86.28 HBD = 8 N + O = 8 Norvir (ritonavir) LogP 2.33  MW 720.6  PSA 202.26 HBD = 11 N + O = 11
CNS drug discovery properties analysis ,[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],DISCOVERY TIP: Prior to purchasing or screening libraries – look at the property landscape.  How much is CNS relevant?
CNS drug discovery properties analysis – what are “ good ” values? ,[object Object],[object Object],Rees et al. (2004)  Nat Rev Drug Discov,  3,  660-672.  Lipinski CA et al. (2001)  Adv Drug Deliv Rev,  46,  3-26.  CNS Drugs LogP < 4 MW < 400 PSA < 80 Chico et al. (2009)  Nature Rev Drug Discov ,  8,  892-909. Fragments  LogP < 3 MW < 300 PSA < 90 Oral Drugs LogP < 5 MW < 500 PSA < 140
Case Study:  CNS properties analysis identifies guidelines Properties were computed using ACD Labs (v.11).  Data shown are mean±SEM.  Student’s t-test used to compare mean values with CNS means.  *,  p <0.05; ***,  p <0.001. Chico et al. (2009)  Nature Rev Drug Discov ,  8,  892-909. PSA discriminates CNS+ better than LogP Pgp+ compounds possess higher LogP, MW than Pgp- compounds
Case study: Properties guidelines help prioritize CNS drug discovery efforts Simple properties filters helped prioritize the top 6% of candidates!  <100 compounds were synthesized from start    lead    clinical candidate. Wing et al. (2006)  Curr Alz Res,  3,  205-214. Chico et al. (2009)  Drug Metab Dispos,  37,  2204-11.  Chico et al. (2009)  Nature Rev Drug Discov, 8 ,  892-909. 5 amines + 18 alkyl/aromatic groups = 1700+ possibilities PSA <80Å 2 MW <400 LogP < 4 (80%) (80%) (80%)
Case study:  Overlapping properties analyses focuses discovery efforts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Chico et al. (2009)  Drug Metab Dispos, 37 ,  2204-11.  Chico et al. (2009)  Nature Rev Drug Discov, 8 ,  892-909.
Find the “sweet spot” of CNS+/CYP2D6- using overlapping analyses CNS+/CYP2D6+  Avoid this region CNS+/CYP2D6- Minimized risk of CYP2D6 involvement, but still have CNS+ CNS+ PSA ≤ 80Å 2 LogP ≤ 4 MW ≤ 400 Database summary statistics:
Multidimensional properties analyses helps refine “CNS” space Wager et al. (2010)  ACS Chem Neurosci, 1 ,  420-434.  Wager et al. (2010)  ACS Chem Neurosci,   1,  435-449 Analyzing properties associated with multiple ADME features helps identify more restrictive guidelines, increases probability of finding CNS+ compounds.
Takeaways – how can I use properties guidelines in my discovery efforts? ,[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],CNS LogP < 4 MW < 400 PSA < 80 Fragments  LogP < 3 MW < 300 PSA < 90 Oral Drugs LogP < 5 MW < 500 PSA < 140
Thank you for your time
Synthetic Chemistry Essentials for Biologists  February 2012 Heather Behanna, PhD Biotechnology Research Associate [email_address] (312) 768-1795
http://www.sciencecartoonsplus.com/pages/contact.php
An overview of the drug discovery process Nature Review Drug Discovery,8, 892 2009.
The Drug Discovery Chemist Synthetic chemistry- How to make things Medicinal chemistry- What makes a drug Pattern recognition and recall
Pattern recognition and recall TNT Salinsporamide – clinical trials for cancer Point of covalent attachment to proteins Azo-blue
Chemical space versus drug-like space Lipinski, C and Hopkins A,  Nature ,  2004 , 432(16) 855. Nature Biotechnology 24, 805 - 815 (2006)
Scaffolds for drug design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Properties of scaffolds ,[object Object],[object Object],Viagra Levitra No serotonergic and dopaminergic activity Strong M1 receptor ligand ,[object Object],[object Object]
An overview of the drug discovery process Looking  for a starting point –  either  binding or weak activity that can then be optimized Obtainment of a Hit
How to get a hit?  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High throughput screening (HTS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HTS pitfalls - Bad Hits and Frequent Hitters J Chem Inf Model. 2007 Jul-Aug;47(4):1319-27.  Pattern recognition and recall Compounds that are potent in HTS are not necessarily Hits!
Adaption of natural products ,[object Object],[object Object],[object Object],[object Object],[object Object],US 2010/0137425 A1
Fragment based approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Nature Reviews Drug Discovery 3, 660-672 (2004) Curr Top Med Chem 7, 1600-1629 (2007);  Current Topics in Medicinal Chemistry, 5, 751-762 (2005)
How can we do that?
Hit criteria ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
An overview of the drug discovery process “ Hit to Lead” Nature Review Drug Discovery,8, 892 2009.

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Session 1 part 2

  • 1.
  • 2.
  • 3.
  • 4. Bioavailability…it’s a big deal! So, what can you do to find compounds that are bioavailable? Hint: you don’t need to do in vivo testing just yet..
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Case Study: CNS properties analysis identifies guidelines Properties were computed using ACD Labs (v.11). Data shown are mean±SEM. Student’s t-test used to compare mean values with CNS means. *, p <0.05; ***, p <0.001. Chico et al. (2009) Nature Rev Drug Discov , 8, 892-909. PSA discriminates CNS+ better than LogP Pgp+ compounds possess higher LogP, MW than Pgp- compounds
  • 10. Case study: Properties guidelines help prioritize CNS drug discovery efforts Simple properties filters helped prioritize the top 6% of candidates! <100 compounds were synthesized from start  lead  clinical candidate. Wing et al. (2006) Curr Alz Res, 3, 205-214. Chico et al. (2009) Drug Metab Dispos, 37, 2204-11. Chico et al. (2009) Nature Rev Drug Discov, 8 , 892-909. 5 amines + 18 alkyl/aromatic groups = 1700+ possibilities PSA <80Å 2 MW <400 LogP < 4 (80%) (80%) (80%)
  • 11.
  • 12. Find the “sweet spot” of CNS+/CYP2D6- using overlapping analyses CNS+/CYP2D6+ Avoid this region CNS+/CYP2D6- Minimized risk of CYP2D6 involvement, but still have CNS+ CNS+ PSA ≤ 80Å 2 LogP ≤ 4 MW ≤ 400 Database summary statistics:
  • 13. Multidimensional properties analyses helps refine “CNS” space Wager et al. (2010) ACS Chem Neurosci, 1 , 420-434. Wager et al. (2010) ACS Chem Neurosci, 1, 435-449 Analyzing properties associated with multiple ADME features helps identify more restrictive guidelines, increases probability of finding CNS+ compounds.
  • 14.
  • 15. Thank you for your time
  • 16. Synthetic Chemistry Essentials for Biologists February 2012 Heather Behanna, PhD Biotechnology Research Associate [email_address] (312) 768-1795
  • 17.
  • 19. An overview of the drug discovery process Nature Review Drug Discovery,8, 892 2009.
  • 20. The Drug Discovery Chemist Synthetic chemistry- How to make things Medicinal chemistry- What makes a drug Pattern recognition and recall
  • 21. Pattern recognition and recall TNT Salinsporamide – clinical trials for cancer Point of covalent attachment to proteins Azo-blue
  • 22. Chemical space versus drug-like space Lipinski, C and Hopkins A, Nature , 2004 , 432(16) 855. Nature Biotechnology 24, 805 - 815 (2006)
  • 23.
  • 24.
  • 25. An overview of the drug discovery process Looking for a starting point – either binding or weak activity that can then be optimized Obtainment of a Hit
  • 26.
  • 27.
  • 28. HTS pitfalls - Bad Hits and Frequent Hitters J Chem Inf Model. 2007 Jul-Aug;47(4):1319-27. Pattern recognition and recall Compounds that are potent in HTS are not necessarily Hits!
  • 29.
  • 30.
  • 31. How can we do that?
  • 32.
  • 33. An overview of the drug discovery process “ Hit to Lead” Nature Review Drug Discovery,8, 892 2009.

Notas do Editor

  1. What kind of cns drugs? What kind of marketed drugs? Describe more about the categories of compounds included. Examples of each.
  2. Set this up a little better.
  3. Set this up a little better.