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Make the Molecules that Matter
Dr Martin Slater, Director of Consulting Services
© CressetCONFIDENTIAL
> Founded 2002
> Software
> 15 of 20 top pharmas
> Hundreds of customers across NA, EU, India,
China, Japan, Korea
> Services
> 270+ projects delivered to customers globally
> Support medicinal and computational
chemistry through ligand-based and
structure-based software and services
> Growing and maturing company
> 20% compound annual growth rate since 2010
> 35+ staff on 3 continents
Cresset
© CressetCONFIDENTIAL
> Considerable cost savings to be made
> Increase efficiency of, or reduce, lab based FTE requirements
Why outsource computational chemistry?
Chemists
Biologists
Consumables
Equipment
Lab space
£500k - £5,000k per project
Modelers
Software
CPUs
£20k - £100k per project
Just make the molecules that matter?
© CressetCONFIDENTIAL
Cresset: The science
© CressetCONFIDENTIAL
Field points
3D Molecular Electrostatic
Interaction Potential (MIP)
N
N
Br
F F
F
SH2N
O
O
Field points
= Shape
= Hydrophobic
MIP contains too much
information to use
computationally in a
reasonable time
Field points provide
computationally
tractable framework for
electrostatic similarity
= Positive
= Negative
© CressetCONFIDENTIAL
Expert computational chemists
> Computational chemistry
> Medicinal chemistry
> Structural biology
> Informatics
> Europe
> North America
> Japan
> India
> Large pharma
> Biotech
> Agrochemical
> CRO
> Academia
Cross-industry experience and expertise
© CressetCONFIDENTIAL
Typical activities and workflows
As your science partner we share your goals and challenges
© CressetCONFIDENTIAL
Need IP for a new protein target X (no ligands): Modeling workflows?
Protein
target X
Known
protein
target Y
Sequence …yes!!
Literature – what is known:
• How does it function?
• X-rays?
• Substrates?
• Ligands?
• SAR?
• Proteins partners
• Mutagenesis
• Chimeras
Intelligence gathering Sequence match - how similar?
• Literature data
• X-rays
• Substrates / proteins partners
• Ligands and SAR
• Ligand binding info
• Mutagenesis
• Chimeras
Homology
model
Hit list of commercial
compounds to procure
and test in biological
screening
Dynamics Loop modeling
Pocket detection Electrostatic Complementarity™
Water modeling FEP
Structure-based virtual screening
Binding
pocket ID
Sequence search
© CressetCONFIDENTIAL
Gain deep insights into protein-ligand binding
© CressetCONFIDENTIAL
Need IP for a new protein target X (ligand data): Modeling workflows?
Intelligence gathering
Ligand
superimposition
Hit list of commercial
compounds to procure
and test in biological
screening
SAR analysis
QSAR
Ligand-based virtual screening
Optimization follow-up modeling
New molecules to
synthesize and test
De-novo
design
Fragment
replacement
Protein
target X
Known
protein
target Y
Sequence search
Sequence …yes!!
Literature – what is known:
• How does it function?
• X-rays?
• Substrates?
• Ligands?
• SAR?
• Proteins partners
• Mutagenesis
• Chimeras
Sequence match - how similar?
• Literature data
• X-rays
• Substrates / proteins partners
• Ligands and SAR
• Ligand binding info
• Mutagenesis
• Chimeras
Ligand
binding
hypothesis
3D Bioactive
conformation
© CressetCONFIDENTIAL
Need IP from phenotypic screen: What are the modeling workflows?
Intelligence gathering
De-novo
design
Fragment
replacement
Ligand
superimposition
SAR analysis
QSAR
Hit list of commercial
compounds to procure
and test in biological
screening
New molecules to
synthesize and test
Sequence …yes!!
Literature – what is known:
• How does it function?
• X-rays?
• Substrates?
• Ligands?
• SAR?
• Proteins partners
• Mutagenesis
• Chimeras
Optimization follow-up modeling
Ligand-based virtual screening
Templating:
3D Bioactive
conformation
© CressetCONFIDENTIAL
Compare and convert ligands across chemotypes
PDB:2ogz PDB:3g0g
Bioisosteres Bioisosteric
groups
© CressetCONFIDENTIAL
Need IP for a new protein target X: What are the modeling workflows?
Intelligence gathering
Structure-based virtual screening
De-novo
design
Fragment
replacement
Protein
target X
Known
protein
target Y
Homology
model
Binding
pocket ID
Ligand
binding
hypothesis
Ligand
superimposition
SAR analysis
QSAR
Dynamics Loop modeling
Pocket detection Electrostatic Complementarity™
Water modeling FEP
Ligand-based virtual screening
Optimization follow-up modeling
Hit list of commercial
compounds to procure
and test in biological
screening
New molecules to
synthesize and test
Sequence search
Sequence …yes!!
Literature – what is known:
• How does it function?
• X-rays?
• Substrates?
• Ligands?
• SAR?
• Proteins partners
• Mutagenesis
• Chimeras
Sequence match - how similar?
• Literature data
• X-rays
• Substrates / proteins partners
• Ligands and SAR
• Ligand binding info
• Mutagenesis
• Chimeras
3D Bioactive
conformation
© CressetCONFIDENTIAL
Case study: Applying Blaze™ to a natural ligand
N
N
N
N
S
O
O
N
N
N
O
O
O
IC50 470nM
Similar patents later
filed by Incyte
IC50 1100nM
Similar patents by AZ
IC50 170nM
Client patent
O
O
OHHO
O
H
H
H
11β-HSD1
(Cortisone to Cortisol)
Match template across
3,000,000 commercially
available compounds
© CressetCONFIDENTIAL
Case study: Discovery of Tioxazafen
© CressetCONFIDENTIAL
Case study: Testing in silico hypotheses in vitro
Biological Sciences - Microbiology:
Jason D. Oliver, Graham E. M. Sibley, Nicola Beckmann, Katharine S.
Dobb, Martin J. Slater, Laura McEntee, Saskia du Pré, Joanne
Livermore, Michael J. Bromley, Nathan P. Wiederhold, William W.
Hope, Anthony J. Kennedy, Derek Law, and Mike Birch
F901318 represents a novel class of antifungal drug that inhibits
dihydroorotate dehydrogenase
PNAS 2016 113 (45) 12809-12814; published ahead of print October 25,
2016, doi:10.1073/pnas.1608304113
© CressetCONFIDENTIAL
cressetgroup
martin@cresset-group.com
Questions
Cresset has consistently delivered insightful support to our
drug discovery efforts. In our experience, their knowledge,
responsiveness and collaborative approach have set them
apart from their competitors.
Dr Neil Murray, CEO, Redx Pharma
This is a very important and exciting project for my team so
thank you for your good work. The incredibly high hit rate from
your compound list [Blaze] is intriguing.
Cresset is a valuable partner in our drug discovery programs.
Their deep knowledge of computational chemistry and its
application to drug discovery is enabling us to progress
multiple projects across a wide range of target classes very
quickly and cost-effectively.
Dr Neil Murray, CEO, Redx Pharma
“F2G have used Cresset’s consulting services for over two years. We really
like the powerful combination of excellent software tools and molecular design
expertise which we get from working with Cresset.”
Dr Graham Sibley, Head of Chemistry, F2G
Cresset Discovery Services’ computational experience and
high standard of scientific support is ideally suited to help drive
the next stage of this project.
Dr Richard Boyce, Senior Director of Research, PhoreMost

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Make Molecules that Matter with Cresset's Computational Chemistry

  • 1. Make the Molecules that Matter Dr Martin Slater, Director of Consulting Services
  • 2. © CressetCONFIDENTIAL > Founded 2002 > Software > 15 of 20 top pharmas > Hundreds of customers across NA, EU, India, China, Japan, Korea > Services > 270+ projects delivered to customers globally > Support medicinal and computational chemistry through ligand-based and structure-based software and services > Growing and maturing company > 20% compound annual growth rate since 2010 > 35+ staff on 3 continents Cresset
  • 3. © CressetCONFIDENTIAL > Considerable cost savings to be made > Increase efficiency of, or reduce, lab based FTE requirements Why outsource computational chemistry? Chemists Biologists Consumables Equipment Lab space £500k - £5,000k per project Modelers Software CPUs £20k - £100k per project Just make the molecules that matter?
  • 5. © CressetCONFIDENTIAL Field points 3D Molecular Electrostatic Interaction Potential (MIP) N N Br F F F SH2N O O Field points = Shape = Hydrophobic MIP contains too much information to use computationally in a reasonable time Field points provide computationally tractable framework for electrostatic similarity = Positive = Negative
  • 6. © CressetCONFIDENTIAL Expert computational chemists > Computational chemistry > Medicinal chemistry > Structural biology > Informatics > Europe > North America > Japan > India > Large pharma > Biotech > Agrochemical > CRO > Academia Cross-industry experience and expertise
  • 7. © CressetCONFIDENTIAL Typical activities and workflows As your science partner we share your goals and challenges
  • 8. © CressetCONFIDENTIAL Need IP for a new protein target X (no ligands): Modeling workflows? Protein target X Known protein target Y Sequence …yes!! Literature – what is known: • How does it function? • X-rays? • Substrates? • Ligands? • SAR? • Proteins partners • Mutagenesis • Chimeras Intelligence gathering Sequence match - how similar? • Literature data • X-rays • Substrates / proteins partners • Ligands and SAR • Ligand binding info • Mutagenesis • Chimeras Homology model Hit list of commercial compounds to procure and test in biological screening Dynamics Loop modeling Pocket detection Electrostatic Complementarity™ Water modeling FEP Structure-based virtual screening Binding pocket ID Sequence search
  • 9. © CressetCONFIDENTIAL Gain deep insights into protein-ligand binding
  • 10. © CressetCONFIDENTIAL Need IP for a new protein target X (ligand data): Modeling workflows? Intelligence gathering Ligand superimposition Hit list of commercial compounds to procure and test in biological screening SAR analysis QSAR Ligand-based virtual screening Optimization follow-up modeling New molecules to synthesize and test De-novo design Fragment replacement Protein target X Known protein target Y Sequence search Sequence …yes!! Literature – what is known: • How does it function? • X-rays? • Substrates? • Ligands? • SAR? • Proteins partners • Mutagenesis • Chimeras Sequence match - how similar? • Literature data • X-rays • Substrates / proteins partners • Ligands and SAR • Ligand binding info • Mutagenesis • Chimeras Ligand binding hypothesis 3D Bioactive conformation
  • 11. © CressetCONFIDENTIAL Need IP from phenotypic screen: What are the modeling workflows? Intelligence gathering De-novo design Fragment replacement Ligand superimposition SAR analysis QSAR Hit list of commercial compounds to procure and test in biological screening New molecules to synthesize and test Sequence …yes!! Literature – what is known: • How does it function? • X-rays? • Substrates? • Ligands? • SAR? • Proteins partners • Mutagenesis • Chimeras Optimization follow-up modeling Ligand-based virtual screening Templating: 3D Bioactive conformation
  • 12. © CressetCONFIDENTIAL Compare and convert ligands across chemotypes PDB:2ogz PDB:3g0g Bioisosteres Bioisosteric groups
  • 13. © CressetCONFIDENTIAL Need IP for a new protein target X: What are the modeling workflows? Intelligence gathering Structure-based virtual screening De-novo design Fragment replacement Protein target X Known protein target Y Homology model Binding pocket ID Ligand binding hypothesis Ligand superimposition SAR analysis QSAR Dynamics Loop modeling Pocket detection Electrostatic Complementarity™ Water modeling FEP Ligand-based virtual screening Optimization follow-up modeling Hit list of commercial compounds to procure and test in biological screening New molecules to synthesize and test Sequence search Sequence …yes!! Literature – what is known: • How does it function? • X-rays? • Substrates? • Ligands? • SAR? • Proteins partners • Mutagenesis • Chimeras Sequence match - how similar? • Literature data • X-rays • Substrates / proteins partners • Ligands and SAR • Ligand binding info • Mutagenesis • Chimeras 3D Bioactive conformation
  • 14. © CressetCONFIDENTIAL Case study: Applying Blaze™ to a natural ligand N N N N S O O N N N O O O IC50 470nM Similar patents later filed by Incyte IC50 1100nM Similar patents by AZ IC50 170nM Client patent O O OHHO O H H H 11β-HSD1 (Cortisone to Cortisol) Match template across 3,000,000 commercially available compounds
  • 15. © CressetCONFIDENTIAL Case study: Discovery of Tioxazafen
  • 16. © CressetCONFIDENTIAL Case study: Testing in silico hypotheses in vitro Biological Sciences - Microbiology: Jason D. Oliver, Graham E. M. Sibley, Nicola Beckmann, Katharine S. Dobb, Martin J. Slater, Laura McEntee, Saskia du Pré, Joanne Livermore, Michael J. Bromley, Nathan P. Wiederhold, William W. Hope, Anthony J. Kennedy, Derek Law, and Mike Birch F901318 represents a novel class of antifungal drug that inhibits dihydroorotate dehydrogenase PNAS 2016 113 (45) 12809-12814; published ahead of print October 25, 2016, doi:10.1073/pnas.1608304113
  • 17. © CressetCONFIDENTIAL cressetgroup martin@cresset-group.com Questions Cresset has consistently delivered insightful support to our drug discovery efforts. In our experience, their knowledge, responsiveness and collaborative approach have set them apart from their competitors. Dr Neil Murray, CEO, Redx Pharma This is a very important and exciting project for my team so thank you for your good work. The incredibly high hit rate from your compound list [Blaze] is intriguing. Cresset is a valuable partner in our drug discovery programs. Their deep knowledge of computational chemistry and its application to drug discovery is enabling us to progress multiple projects across a wide range of target classes very quickly and cost-effectively. Dr Neil Murray, CEO, Redx Pharma “F2G have used Cresset’s consulting services for over two years. We really like the powerful combination of excellent software tools and molecular design expertise which we get from working with Cresset.” Dr Graham Sibley, Head of Chemistry, F2G Cresset Discovery Services’ computational experience and high standard of scientific support is ideally suited to help drive the next stage of this project. Dr Richard Boyce, Senior Director of Research, PhoreMost