SlideShare ist ein Scribd-Unternehmen logo
1 von 33
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.

Weitere ähnliche Inhalte

Was ist angesagt?

Applying cheminformatics and bioinformatics approaches to neglected tropical ...
Applying cheminformatics and bioinformatics approaches to neglected tropical ...Applying cheminformatics and bioinformatics approaches to neglected tropical ...
Applying cheminformatics and bioinformatics approaches to neglected tropical ...
Sean Ekins
 
Bioinformatic approaches to the discovery of apoptotic proteins
Bioinformatic approaches to the discovery of apoptotic proteinsBioinformatic approaches to the discovery of apoptotic proteins
Bioinformatic approaches to the discovery of apoptotic proteins
Steven Acoca, PhD, MBA Candidate
 
Biomonitoring: Its Expanding Role in Public Health Evaluations and Litigation
Biomonitoring: Its Expanding Role in Public Health Evaluations and LitigationBiomonitoring: Its Expanding Role in Public Health Evaluations and Litigation
Biomonitoring: Its Expanding Role in Public Health Evaluations and Litigation
kurfirst
 

Was ist angesagt? (20)

ChEMBL US tour December 2014
ChEMBL US tour December 2014ChEMBL US tour December 2014
ChEMBL US tour December 2014
 
NMR in fragment based drug discovery
NMR in fragment based drug discoveryNMR in fragment based drug discovery
NMR in fragment based drug discovery
 
RAD51 Drug Discovery (ACS Denver 2011)
RAD51 Drug Discovery (ACS Denver 2011)RAD51 Drug Discovery (ACS Denver 2011)
RAD51 Drug Discovery (ACS Denver 2011)
 
Alternative methods to animal testing: review
Alternative methods to animal testing: reviewAlternative methods to animal testing: review
Alternative methods to animal testing: review
 
PRINCIPLE AND APPLICATIONS OF CELL VIABILITY, GLUCOSE UPTAKE AND CALCIUM UPT...
PRINCIPLE AND APPLICATIONS OF CELL VIABILITY, GLUCOSE UPTAKE  AND CALCIUM UPT...PRINCIPLE AND APPLICATIONS OF CELL VIABILITY, GLUCOSE UPTAKE  AND CALCIUM UPT...
PRINCIPLE AND APPLICATIONS OF CELL VIABILITY, GLUCOSE UPTAKE AND CALCIUM UPT...
 
Alternatives to animals in toxicity testing
Alternatives to animals in toxicity testingAlternatives to animals in toxicity testing
Alternatives to animals in toxicity testing
 
Animal models
Animal modelsAnimal models
Animal models
 
Shraddha pre on 3 r new presen 123
Shraddha pre on 3 r new presen 123Shraddha pre on 3 r new presen 123
Shraddha pre on 3 r new presen 123
 
MDC Connects: IKKe/TBK1: Case study of approaches to turning fragment hits in...
MDC Connects: IKKe/TBK1: Case study of approaches to turning fragment hits in...MDC Connects: IKKe/TBK1: Case study of approaches to turning fragment hits in...
MDC Connects: IKKe/TBK1: Case study of approaches to turning fragment hits in...
 
2015 bioinformatics bio_cheminformatics_wim_vancriekinge
2015 bioinformatics bio_cheminformatics_wim_vancriekinge2015 bioinformatics bio_cheminformatics_wim_vancriekinge
2015 bioinformatics bio_cheminformatics_wim_vancriekinge
 
Use Of Radiotracers In Drug Metabolism Studies
Use Of Radiotracers In Drug Metabolism StudiesUse Of Radiotracers In Drug Metabolism Studies
Use Of Radiotracers In Drug Metabolism Studies
 
Intro to in silico drug discovery 2014
Intro to in silico drug discovery 2014Intro to in silico drug discovery 2014
Intro to in silico drug discovery 2014
 
Assignment on Limitation of animal experimentation
Assignment on Limitation of animal experimentationAssignment on Limitation of animal experimentation
Assignment on Limitation of animal experimentation
 
Nc state lecture v2 Computational Toxicology
Nc state lecture v2 Computational ToxicologyNc state lecture v2 Computational Toxicology
Nc state lecture v2 Computational Toxicology
 
Quality Control Tests for Ophthalmics
Quality Control Tests for OphthalmicsQuality Control Tests for Ophthalmics
Quality Control Tests for Ophthalmics
 
High throughput screening
High throughput screening High throughput screening
High throughput screening
 
Applying cheminformatics and bioinformatics approaches to neglected tropical ...
Applying cheminformatics and bioinformatics approaches to neglected tropical ...Applying cheminformatics and bioinformatics approaches to neglected tropical ...
Applying cheminformatics and bioinformatics approaches to neglected tropical ...
 
Bioinformatic approaches to the discovery of apoptotic proteins
Bioinformatic approaches to the discovery of apoptotic proteinsBioinformatic approaches to the discovery of apoptotic proteins
Bioinformatic approaches to the discovery of apoptotic proteins
 
Biomonitoring: Its Expanding Role in Public Health Evaluations and Litigation
Biomonitoring: Its Expanding Role in Public Health Evaluations and LitigationBiomonitoring: Its Expanding Role in Public Health Evaluations and Litigation
Biomonitoring: Its Expanding Role in Public Health Evaluations and Litigation
 
Protective role of antioxidants on thioacetamide induced acute hepatic enceph...
Protective role of antioxidants on thioacetamide induced acute hepatic enceph...Protective role of antioxidants on thioacetamide induced acute hepatic enceph...
Protective role of antioxidants on thioacetamide induced acute hepatic enceph...
 

Ähnlich wie Session 1 part 2

Session 1 part 3
Session 1 part 3Session 1 part 3
Session 1 part 3
plmiami
 
various approaches in drug design and molecular docking.pptx
various approaches in drug design and molecular docking.pptxvarious approaches in drug design and molecular docking.pptx
various approaches in drug design and molecular docking.pptx
pranalpatilPranal
 

Ähnlich wie Session 1 part 2 (20)

Bioinformatics t9-t10-biocheminformatics v2014
Bioinformatics t9-t10-biocheminformatics v2014Bioinformatics t9-t10-biocheminformatics v2014
Bioinformatics t9-t10-biocheminformatics v2014
 
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
 
Session 1 part 3
Session 1 part 3Session 1 part 3
Session 1 part 3
 
Bioinformatica 15-12-2011-t9-t10-bio cheminformatics
Bioinformatica 15-12-2011-t9-t10-bio cheminformaticsBioinformatica 15-12-2011-t9-t10-bio cheminformatics
Bioinformatica 15-12-2011-t9-t10-bio cheminformatics
 
Unc slides on computational toxicology
Unc slides on computational toxicologyUnc slides on computational toxicology
Unc slides on computational toxicology
 
Drug Discovery Today: Fighting TB with Technology
Drug Discovery Today: Fighting TB with TechnologyDrug Discovery Today: Fighting TB with Technology
Drug Discovery Today: Fighting TB with Technology
 
Berg ellen 7th braz medchem 12nov2014
Berg ellen 7th braz medchem 12nov2014Berg ellen 7th braz medchem 12nov2014
Berg ellen 7th braz medchem 12nov2014
 
Drug discovery anthony crasto
Drug discovery  anthony crastoDrug discovery  anthony crasto
Drug discovery anthony crasto
 
Computer Aided Drug Design
Computer Aided Drug DesignComputer Aided Drug Design
Computer Aided Drug Design
 
Drug Design:Discovery, Development and Delivery
Drug Design:Discovery, Development and DeliveryDrug Design:Discovery, Development and Delivery
Drug Design:Discovery, Development and Delivery
 
Introduction to the drug discovery process
Introduction to the drug discovery processIntroduction to the drug discovery process
Introduction to the drug discovery process
 
Extrapolation.pptx
Extrapolation.pptxExtrapolation.pptx
Extrapolation.pptx
 
cara Baca SWISSADME-TargetPred.pdf
cara Baca SWISSADME-TargetPred.pdfcara Baca SWISSADME-TargetPred.pdf
cara Baca SWISSADME-TargetPred.pdf
 
Deconvolution of Rhea Compound Using UCeP-ID
Deconvolution of Rhea Compound Using UCeP-IDDeconvolution of Rhea Compound Using UCeP-ID
Deconvolution of Rhea Compound Using UCeP-ID
 
various approaches in drug design and molecular docking.pptx
various approaches in drug design and molecular docking.pptxvarious approaches in drug design and molecular docking.pptx
various approaches in drug design and molecular docking.pptx
 
Lipinski Jmrc Lecture1 Nov2008
Lipinski Jmrc Lecture1 Nov2008Lipinski Jmrc Lecture1 Nov2008
Lipinski Jmrc Lecture1 Nov2008
 
drug discovery- history, evolution and stages
drug discovery- history, evolution and stagesdrug discovery- history, evolution and stages
drug discovery- history, evolution and stages
 
Drug discovery
Drug discoveryDrug discovery
Drug discovery
 
Expt. 3 Introduction to principles of bioassay, its types including advantage...
Expt. 3 Introduction to principles of bioassay, its types including advantage...Expt. 3 Introduction to principles of bioassay, its types including advantage...
Expt. 3 Introduction to principles of bioassay, its types including advantage...
 
Ontomine Scaffold Hop
Ontomine Scaffold HopOntomine Scaffold Hop
Ontomine Scaffold Hop
 

Mehr von plmiami

Am 8.00 workowski
Am 8.00 workowskiAm 8.00 workowski
Am 8.00 workowski
plmiami
 
Am 8.45 policar vulvovag
Am 8.45 policar vulvovagAm 8.45 policar vulvovag
Am 8.45 policar vulvovag
plmiami
 
Noon friedman
Noon friedmanNoon friedman
Noon friedman
plmiami
 
Am 11.20 oxentenko
Am 11.20 oxentenkoAm 11.20 oxentenko
Am 11.20 oxentenko
plmiami
 
Am 10.40 gardner
Am 10.40 gardnerAm 10.40 gardner
Am 10.40 gardner
plmiami
 
Am 9.15 awards
Am 9.15  awardsAm 9.15  awards
Am 9.15 awards
plmiami
 
Am 8.50 salganicoff
Am 8.50 salganicoffAm 8.50 salganicoff
Am 8.50 salganicoff
plmiami
 
Am 8.40 diaz
Am 8.40 diazAm 8.40 diaz
Am 8.40 diaz
plmiami
 
Am 8.30 lee
Am 8.30 leeAm 8.30 lee
Am 8.30 lee
plmiami
 
Final slide deck for dr iglesia
Final slide deck for dr  iglesiaFinal slide deck for dr  iglesia
Final slide deck for dr iglesia
plmiami
 
Pm 4.45 mcintyre-seltman
Pm 4.45 mcintyre-seltmanPm 4.45 mcintyre-seltman
Pm 4.45 mcintyre-seltman
plmiami
 
Pm 4.00 wisner
Pm 4.00 wisnerPm 4.00 wisner
Pm 4.00 wisner
plmiami
 
Pm 2.45 kushner
Pm 2.45 kushnerPm 2.45 kushner
Pm 2.45 kushner
plmiami
 
Pm 1.50 trudy bush
Pm 1.50 trudy bushPm 1.50 trudy bush
Pm 1.50 trudy bush
plmiami
 
Evidence based management of cardiovascular disease in women
Evidence based management of cardiovascular disease in women Evidence based management of cardiovascular disease in women
Evidence based management of cardiovascular disease in women
plmiami
 
Am 11.30 grunfeld
Am 11.30 grunfeldAm 11.30 grunfeld
Am 11.30 grunfeld
plmiami
 
Am 10.45 lindsay bone health
Am 10.45 lindsay bone healthAm 10.45 lindsay bone health
Am 10.45 lindsay bone health
plmiami
 
Am 9.30 robertson
Am 9.30 robertsonAm 9.30 robertson
Am 9.30 robertson
plmiami
 
Am 7.15 shulman
Am 7.15 shulmanAm 7.15 shulman
Am 7.15 shulman
plmiami
 
Pm 4.50 hochberg
Pm 4.50 hochbergPm 4.50 hochberg
Pm 4.50 hochberg
plmiami
 

Mehr von plmiami (20)

Am 8.00 workowski
Am 8.00 workowskiAm 8.00 workowski
Am 8.00 workowski
 
Am 8.45 policar vulvovag
Am 8.45 policar vulvovagAm 8.45 policar vulvovag
Am 8.45 policar vulvovag
 
Noon friedman
Noon friedmanNoon friedman
Noon friedman
 
Am 11.20 oxentenko
Am 11.20 oxentenkoAm 11.20 oxentenko
Am 11.20 oxentenko
 
Am 10.40 gardner
Am 10.40 gardnerAm 10.40 gardner
Am 10.40 gardner
 
Am 9.15 awards
Am 9.15  awardsAm 9.15  awards
Am 9.15 awards
 
Am 8.50 salganicoff
Am 8.50 salganicoffAm 8.50 salganicoff
Am 8.50 salganicoff
 
Am 8.40 diaz
Am 8.40 diazAm 8.40 diaz
Am 8.40 diaz
 
Am 8.30 lee
Am 8.30 leeAm 8.30 lee
Am 8.30 lee
 
Final slide deck for dr iglesia
Final slide deck for dr  iglesiaFinal slide deck for dr  iglesia
Final slide deck for dr iglesia
 
Pm 4.45 mcintyre-seltman
Pm 4.45 mcintyre-seltmanPm 4.45 mcintyre-seltman
Pm 4.45 mcintyre-seltman
 
Pm 4.00 wisner
Pm 4.00 wisnerPm 4.00 wisner
Pm 4.00 wisner
 
Pm 2.45 kushner
Pm 2.45 kushnerPm 2.45 kushner
Pm 2.45 kushner
 
Pm 1.50 trudy bush
Pm 1.50 trudy bushPm 1.50 trudy bush
Pm 1.50 trudy bush
 
Evidence based management of cardiovascular disease in women
Evidence based management of cardiovascular disease in women Evidence based management of cardiovascular disease in women
Evidence based management of cardiovascular disease in women
 
Am 11.30 grunfeld
Am 11.30 grunfeldAm 11.30 grunfeld
Am 11.30 grunfeld
 
Am 10.45 lindsay bone health
Am 10.45 lindsay bone healthAm 10.45 lindsay bone health
Am 10.45 lindsay bone health
 
Am 9.30 robertson
Am 9.30 robertsonAm 9.30 robertson
Am 9.30 robertson
 
Am 7.15 shulman
Am 7.15 shulmanAm 7.15 shulman
Am 7.15 shulman
 
Pm 4.50 hochberg
Pm 4.50 hochbergPm 4.50 hochberg
Pm 4.50 hochberg
 

Kürzlich hochgeladen

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 

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.

Hinweis der Redaktion

  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.