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Operational Overview Bude-Stratton Business Park Bude Cornwall
Exelgen Discovery background ,[object Object],[object Object],[object Object],[object Object],Background
[object Object],[object Object],[object Object],[object Object],[object Object],Exelgen Discovery’s Core Business All in as short a time as possible Background Lead  Optimization Hit Validation or Lead Finding Hit Finding
Exelgen Discovery’s Offerings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Background
Library Enhancement Strategy …  analyze existing collection Collaborative Services Corporate Screening Collection Desired Compounds Acceptable Compounds Unacceptable Compounds Poor Chemistry Undesirable Properties Discard Good Chemistry Drug-like Properties Screen Good Chemistry Lead-like Properties Buy Compounds can be further subdivided by target
Toward Lead-like or Targeted Subsets … what is desirable ,[object Object],[object Object],[object Object],[object Object],[object Object],Compounds in a screening set should have drug-like or lead-like properties Properties of Oral Drugs Categorized by Gene Family Hopkins, et al, Nature Biotechnology 2006, 7, 805-815 Lipinski’s “Rule of 5” is the best known filtering criteria There are MANY others =>  Rules need to be tailored to specific customers needs Collaborative Services 9 7 4 5.7 505 Protein Kinases 12 8 4 4.8 572 Serine Proteases 9 8 2 5.2 465 Phospho-diesterases 17 10 8 6.5 752 Peptide GPCRs 10 6 2 7.3 495 Nuclear Hormone Receptors 7 6 3 4.7 430 Ion Channels 8 6 2 5.6 460 Aminergic GPCRs 90% Rbonds 90% HBA 90% HBD 90% ClogP 90% MW
Enhancing a Compound Collection …   analyze vendors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Collaborative Services
Enhancement Can Be Tailored …   only buy what’s needed ,[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],Fill-in holes in chemistry space Include areas not covered by original collection Covered by Corporate Collection Collaborative Services
Synthesis of Enhancement libraries …   Sources of Scaffolds From “Ideas”  Database (~2500 ideas) From Chemists “chemical intuition” From “de novo”  Scaffold  Generation Scaffolds should be vetted for applicability Scaffold Idea Representative subset of reagents “ mini” virtual library Check that library has reasonable property profile and no overlap with known compounds For targeted libraries, use docking or similarity scores to verify desirability of the potential library Shape-based hierarchical clustering is employed to select diverse scaffolds 27,417 meet “rule of 5” 14,322 meet “rule of 4.5” 3,918 meet “rule of 4” using Aldrich reagents ClogP MW Collaborative Services
Careful Reagent Selection …   enhance synthetic success Reagent Pool Vendor Catalogs Library Reagents Depending on the library design goals, custom synthesized and novel in-house reagents may also be used Reaction-Compatible Reagents must be compatible with reaction conditions in current and following reaction steps Reagant-Compatible Reagents must not contain competing functional groups Drug-like Cannot contain known toxicophores, etc. Reasonable Available at reasonable cost Collaborative Services
Type of Library Needed Depends on What is Known Lead  Optimization Hit Validation or Lead Finding Hit Finding Knowledge of Target Protein X-ray Pharma- cophore Protein Class None Structure Based Design Pharmacophore Based Design Focused Sets Diverse Libraries Need for diversity is inversely proportional to knowledge about the target Degree   of   Diversity   Needed and where you are in the drug-development process Collaborative Services Oprea, Ed. ChemoInformatics in Drug Discovery, Wiley, 2005, p. 45
Focused libraries are rapidly generated by combining high quality sources of library ideas with techniques for filtering these ideas using knowledge of the target. The process is iterative. Each new library adds to the knowledge base. So good SAR will be built into the libraries. Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Rapid Development of Focused Libraries Collaborative Services
Rapid Development of Focused Libraries Ideas can come directly from the chemist or other sources, based on knowledge or intuition. The ideas database consists of reaction protocols for scaffolds, whose analogs have been made or synthetic route has good precedent, combined with sets of well vetted reagents. Our de novo tools use target and synthetic knowledge to generate relevant suggestions. Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Collaborative Services
Rapid Development of Focused Libraries The knowledge base is a continually evolving repository of knowledge about the desired target. Information may come from public sources, such as crystal structures or patents. Information may also come from the customer, for example, results of earlier screening programs against the target of interest. Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Collaborative Services
Rapid Development of Focused Libraries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Collaborative Services
Rapid Development of Focused Libraries The compounds that survive the virtual screening are all potentially active in the target. Generating the library design is the process of reducing this still potentially very large pool to a subset of compounds that can be synthesized, have reasonable reagent reuse, have the best potential to show activity and incorporate SAR to help understand the screening results. Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Collaborative Services
Rapid Development of Focused Libraries Converting a library design into a physical set of compounds to screen is an interactive process involving design and medicinal chemistry. As the synthesis proceeds and the chemistry is better understood, some reagents may not be viable. This knowledge is fed back to design, and replacements chosen to insure the final compounds retain the same level of desirability as the initial set. Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Collaborative Services
Initial screening results in a number of hits and neighborhood analysis can be used to differentiate true positives from false positives. IC 50  data from identified leads can be fed back into the knowledge base to identify additional libraries to synthesis. The leads can also be optimized using more refined techniques such as QSAR/CoMFA to optimize activity or pharmacological properties. Lead  Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Ideas  Database Knowledge  Base Chemist Ideas de novo  Design Rapid Development of Focused Libraries Virtual Screening Collaborative Services
Focused Compound Selection ,[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],Collaborative Services
Extracting a Focused Set from a Vendor Collection ,[object Object],[object Object],Neighborhood principle:  small change in biological activity correspond to small change in valid metric ,[object Object],[object Object],[object Object],[object Object],Collaborative Services 0 0.5 1 1.5 2 2.5 1.00 0.95 0.90 0.85
Scaffold Selection All sources of scaffolds can benefit from analysis Process most important for scaffolds with the least prior medicinal chemistry input Representative reagents Pool of scaffolds Virtual Libraries Pool of Scaffold candidates Desired scaffold subset Appropriate physical properties Leadlike ADME/tox Appropriate match to target Efficiency and cost of design Similarity Docking Models Diversity analysis Match to target Novelty OptDesign Goal is to rank potential scaffolds on ability to produce a good pool of synthetic candidates. This can be very fast using our virtual screening technology Collaborative Services
Generating a Focused Library Design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Collaborative Services
Full Library Design Synthetic   Scheme Reagent Pool Virtual Library Monomer Pool Drug/Lead-like Pool Initial Design Final Design ,[object Object],[object Object],[object Object],[object Object],[object Object],Reaction Compatible Drug/Lead-like Chemist Inspection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Enumerate Library Property  Filtering Library  Definition Add Target Knowledge Extract  Design Review Collaborative Services
Physical Property Profiling ,[object Object],[object Object],[object Object],[object Object],[object Object],Typically libraries are designed to meet Lipinski’s “Rule of 5” Properties of Oral Drugs Categorized by Gene Family Hopkins, et al, Nature Biotechnology 2006, 7, 805-815 But in reality properties need to be tailored to target being addressed Collaborative Services 9 7 4 5.7 505 Protein Kinases 12 8 4 4.8 572 Serine Proteases 9 8 2 5.2 465 Phospho-diesterases 17 10 8 6.5 752 Peptide GPCRs 10 6 2 7.3 495 Nuclear Hormone Receptors 7 6 3 4.7 430 Ion Channels 8 6 2 5.6 460 Aminergic GPCRs 90% Rbonds 90% HBA 90% HBD 90% ClogP 90% MW
ADMET Predictions Poor BBB Permeability Good BBB Permeability Moderate BBB Permeability High bioavailability (good solubility and Permeability) Low bioavailability (poor solubility and permeability) Problematic bioavailability (poor solubility and good permeability) Problematic bioavailability (good solubility and poor permeability) Collaborative Services Delaney, J. S.  J. Chem. Inf. Comput. Sci.  2004 ,  44 , 1000 – 1005. ESOL – Estimated Aqueous Solubility
[object Object],[object Object],[object Object],Virtual Docking ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Collaborative Services -17.2 -0.8 -32.7 Abl -21.9 -26.7 -25.6 Best -5.1 2.7 2.8 Worst -14.4 -12.1 -11.6 Avg FGFr CDK2 P38 Mode 1 Mode2 Mode 3 Representative Structures in Abl
Topomer Distances Split molecule into 2-3 fragments Rule-based alignment of fragments onto a grid Use probe atom to calculate steric potential at grid points Topomer Fields Topomer distances are the sum of the pair-wise differences between the fields summed over the fragments plus alignment and steric penalties An example result from a Tripos validation study is shown above Similarity Searching Topomer based searching is effective in searching large virtual libraries Topomer fields can also be used for CoMFA predictions in virtual libraries  Collaborative Services N F O O N + H 7.6 uM Query Structure Lead Hop D4.4
Example - Tagamet and Zantac:  both do the same thing in the body Sulfur Ring Nitrogen rich section ,[object Object],H-bond Donor H-bond Acceptor Hydrophobe ,[object Object],Pharmacophore Modeling Goal of pharmacophore modeling is to find matches to key 3D features Collaborative Services
[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],Summary of Focused Library Design Collaborative Services
Summary of the Complete Process ,[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],Collaborative Services
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Strategic & Operational interface …   optimal process engineering ,[object Object],[object Object],[object Object],[object Object],[object Object],Both seamlessly integrated with in-house informatics system Collaborative Services
We know which compounds to make Design Environment Production Environment Difficult Simple Distant Close Highest interest &  earliest delivery  High interest &  long delivery  Synthesis development  & Reagent synthesis Low interest &  later delivery Low interest  & quick delivery  Every compound we make is designed and tracked  via  the informatics   system Collaborative Services
Project Consultancy & Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Collaborative Services
Contract Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Contract Research
Screening Libraries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Screening Libraries
Novel Intermediates, Building Blocks & Custom Synthesis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Novel Intermediates
Custom Analysis & Purification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Custom A&P
Summary Exelgen Discovery provides a broad spectrum of competitively priced Discovery Products and Services.  For further information or enquiries please contact: Exelgen Discovery Bude-Stratton Business Park Bude  EX23 8LY Cornwall, UK Dr Phil Billington Business Development Email: Mob: Dr Julian Smith Principal Scientist Email: Mob: Tel/Fax: +44 (0)1288 356500 [email_address] +44 07973 493403 [email_address] +44 07805 571662

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Exelgen Discovery

  • 1. Operational Overview Bude-Stratton Business Park Bude Cornwall
  • 2.
  • 3.
  • 4.
  • 5. Library Enhancement Strategy … analyze existing collection Collaborative Services Corporate Screening Collection Desired Compounds Acceptable Compounds Unacceptable Compounds Poor Chemistry Undesirable Properties Discard Good Chemistry Drug-like Properties Screen Good Chemistry Lead-like Properties Buy Compounds can be further subdivided by target
  • 6.
  • 7.
  • 8.
  • 9. Synthesis of Enhancement libraries … Sources of Scaffolds From “Ideas” Database (~2500 ideas) From Chemists “chemical intuition” From “de novo” Scaffold Generation Scaffolds should be vetted for applicability Scaffold Idea Representative subset of reagents “ mini” virtual library Check that library has reasonable property profile and no overlap with known compounds For targeted libraries, use docking or similarity scores to verify desirability of the potential library Shape-based hierarchical clustering is employed to select diverse scaffolds 27,417 meet “rule of 5” 14,322 meet “rule of 4.5” 3,918 meet “rule of 4” using Aldrich reagents ClogP MW Collaborative Services
  • 10. Careful Reagent Selection … enhance synthetic success Reagent Pool Vendor Catalogs Library Reagents Depending on the library design goals, custom synthesized and novel in-house reagents may also be used Reaction-Compatible Reagents must be compatible with reaction conditions in current and following reaction steps Reagant-Compatible Reagents must not contain competing functional groups Drug-like Cannot contain known toxicophores, etc. Reasonable Available at reasonable cost Collaborative Services
  • 11. Type of Library Needed Depends on What is Known Lead Optimization Hit Validation or Lead Finding Hit Finding Knowledge of Target Protein X-ray Pharma- cophore Protein Class None Structure Based Design Pharmacophore Based Design Focused Sets Diverse Libraries Need for diversity is inversely proportional to knowledge about the target Degree of Diversity Needed and where you are in the drug-development process Collaborative Services Oprea, Ed. ChemoInformatics in Drug Discovery, Wiley, 2005, p. 45
  • 12. Focused libraries are rapidly generated by combining high quality sources of library ideas with techniques for filtering these ideas using knowledge of the target. The process is iterative. Each new library adds to the knowledge base. So good SAR will be built into the libraries. Lead Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas Database Knowledge Base Chemist Ideas de novo Design Rapid Development of Focused Libraries Collaborative Services
  • 13. Rapid Development of Focused Libraries Ideas can come directly from the chemist or other sources, based on knowledge or intuition. The ideas database consists of reaction protocols for scaffolds, whose analogs have been made or synthetic route has good precedent, combined with sets of well vetted reagents. Our de novo tools use target and synthetic knowledge to generate relevant suggestions. Lead Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas Database Knowledge Base Chemist Ideas de novo Design Collaborative Services
  • 14. Rapid Development of Focused Libraries The knowledge base is a continually evolving repository of knowledge about the desired target. Information may come from public sources, such as crystal structures or patents. Information may also come from the customer, for example, results of earlier screening programs against the target of interest. Lead Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas Database Knowledge Base Chemist Ideas de novo Design Collaborative Services
  • 15.
  • 16. Rapid Development of Focused Libraries The compounds that survive the virtual screening are all potentially active in the target. Generating the library design is the process of reducing this still potentially very large pool to a subset of compounds that can be synthesized, have reasonable reagent reuse, have the best potential to show activity and incorporate SAR to help understand the screening results. Lead Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas Database Knowledge Base Chemist Ideas de novo Design Collaborative Services
  • 17. Rapid Development of Focused Libraries Converting a library design into a physical set of compounds to screen is an interactive process involving design and medicinal chemistry. As the synthesis proceeds and the chemistry is better understood, some reagents may not be viable. This knowledge is fed back to design, and replacements chosen to insure the final compounds retain the same level of desirability as the initial set. Lead Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Virtual Screening Ideas Database Knowledge Base Chemist Ideas de novo Design Collaborative Services
  • 18. Initial screening results in a number of hits and neighborhood analysis can be used to differentiate true positives from false positives. IC 50 data from identified leads can be fed back into the knowledge base to identify additional libraries to synthesis. The leads can also be optimized using more refined techniques such as QSAR/CoMFA to optimize activity or pharmacological properties. Lead Molecules Synthesis Screening Library Design Computer Design Focused Library Candidate Pool Ideas Database Knowledge Base Chemist Ideas de novo Design Rapid Development of Focused Libraries Virtual Screening Collaborative Services
  • 19.
  • 20.
  • 21. Scaffold Selection All sources of scaffolds can benefit from analysis Process most important for scaffolds with the least prior medicinal chemistry input Representative reagents Pool of scaffolds Virtual Libraries Pool of Scaffold candidates Desired scaffold subset Appropriate physical properties Leadlike ADME/tox Appropriate match to target Efficiency and cost of design Similarity Docking Models Diversity analysis Match to target Novelty OptDesign Goal is to rank potential scaffolds on ability to produce a good pool of synthetic candidates. This can be very fast using our virtual screening technology Collaborative Services
  • 22.
  • 23.
  • 24.
  • 25. ADMET Predictions Poor BBB Permeability Good BBB Permeability Moderate BBB Permeability High bioavailability (good solubility and Permeability) Low bioavailability (poor solubility and permeability) Problematic bioavailability (poor solubility and good permeability) Problematic bioavailability (good solubility and poor permeability) Collaborative Services Delaney, J. S. J. Chem. Inf. Comput. Sci. 2004 , 44 , 1000 – 1005. ESOL – Estimated Aqueous Solubility
  • 26.
  • 27. Topomer Distances Split molecule into 2-3 fragments Rule-based alignment of fragments onto a grid Use probe atom to calculate steric potential at grid points Topomer Fields Topomer distances are the sum of the pair-wise differences between the fields summed over the fragments plus alignment and steric penalties An example result from a Tripos validation study is shown above Similarity Searching Topomer based searching is effective in searching large virtual libraries Topomer fields can also be used for CoMFA predictions in virtual libraries Collaborative Services N F O O N + H 7.6 uM Query Structure Lead Hop D4.4
  • 28.
  • 29.
  • 30.
  • 31.
  • 32. We know which compounds to make Design Environment Production Environment Difficult Simple Distant Close Highest interest & earliest delivery High interest & long delivery Synthesis development & Reagent synthesis Low interest & later delivery Low interest & quick delivery Every compound we make is designed and tracked via the informatics system Collaborative Services
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38. Summary Exelgen Discovery provides a broad spectrum of competitively priced Discovery Products and Services. For further information or enquiries please contact: Exelgen Discovery Bude-Stratton Business Park Bude EX23 8LY Cornwall, UK Dr Phil Billington Business Development Email: Mob: Dr Julian Smith Principal Scientist Email: Mob: Tel/Fax: +44 (0)1288 356500 [email_address] +44 07973 493403 [email_address] +44 07805 571662