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Development of web-based
Chemistry Design Tools at
GlaxoSmithKline
Stephen Pickett
May 20th, 2015
ChemAxon UGM, Budapest
The Discovery Process
gene protein
target
screen and
identify lead
Lead
optimisation
chemical
diversity
(compound
library)
test safety& efficacy
in animals and
humans
Targets Hits Leads Candidates Drugs Products
Drug discovery and computational design and prediction
Target
Selection
Candidate
Selection
Product
Differentiation
Market
Entry
Target ID
Lead
Discovery
Lead
Optimisation
Preclinical
Development POC
Full
Development
Registration
Predictive ADMET
Structural Genomics
Sequence homology
Molecular Diversity
Library Design
Molecular Similarity
HTS analysis
(Q)SAR analysis
Attrition analysis/risk assessment
Structure Based Design
Ligand based Design
Solid state/multi scale modelling
Drug discovery made simple
Corporate
collection
Screen
Analysis
What to
make next?
Make it
What’s here to begin
with? What should we
add?
Primary target assay
Selectivity assays
Developability screens
Disease models
“Decision support”
Clustering
Machine learning
Visualisation
Are we there yet?
Predictive models
Design algorithms
Current State: tools covering many application areas
• Data access and reporting
• SAR analysis and visualisation
• Reagent selection and enumeration
• Similarity, clustering, focussed sets
• Alignment and pharmacophore generation
• Protein/ligand visualisation and interpretation
• QSAR modelling
–Local and global models
• Docking, scoring, idea prioritisation
55/22/2015
New compound design
Simple set up
CornerShops
Target A
Search Corporate Data
Select Assays
Or suggest by project/target
Email alerting service
Configurable data refresh intervals
Launch of data into excel
or Spotfire templates
Compound property tracking
Project Data Management - CornerShops
Project Data Management – Structure Viewers
Crystallography data and
comments
Cornershop data
Prealigned view
GRID and other map
views
Electron
density
BioDig ADME (Hussain, Rea, JCIM, 2010, 50, 339-348)
“What possible changes could be made to the
compound to improve its clearance ?
Binned ACTIVITY_CHANGE
1
2
3
5
4
17
21
7
2
-2.2 -1.8 -1.4 -1 -0.6 -0.2 0.2 0.6 1 1.4 1.8 2.2
0
5
10
15
20
PROFILE_CLUSTER - 22
PROFILE_CLUSTER - 28
PROFILE_CLUSTER - 33
PROFILE_CLUSTER - 23
PROFILE_CLUSTER - 31
PROFILE_CLUSTER - 34
PROFILE_CLUSTER - 27
PROFILE_CLUSTER - 32
PROFILE_CLUSTER - 38
- - - 0 + + + - - - 0 + + + - - - 0 + + +
0
10
20
30
40
50
60
70
80
90
100
0
10
20
30
40
50
60
70
80
90
100
0
10
20
30
40
50
60
70
80
90
100
Matched Molecular Pairs analysis in compound design
State of the art design in global tools
MW HBD RB HBA CELL SIZE
0
100
200
300
400
0 192 384 576 768 960 1152 1344 1536
Library Size
OccupiedCells
CONSTRAINED
UNCONSTRAINED
SELECT
Diversity
Library Size
T. Wright, V. J. Gillet, D.V.S. Green & S.D. Pickett, Optimizing the Size and Configuration of
Combinatorial Libraries. J. Chem. Inf. Comput. Sci. (2003), 43(2), 381-390.
QSAR modelling and deployment – expert to end user (JCAMD, 2013, 27, 321-336)
Published Model available as WS
Our vision:
From this….
To this…
GREAT look and feel
No compromise
Science
Evolving science
CSC plug-ins
Replace & retire
Adept, Adamantis, CSC web apps
Robust
High Performance
Personalised
iDesign
Configurable
iDesign Fragments
Collaborative
Ideas sharing
Target IC50 IC50 AVG IC50
Target1 1.99 -1.84 0.08
Target2 2.50 -0.10 1.20
Target3 1.81 4.62 3.22
Target4 5.91 2.59 4.25
Target5 4.15 4.52 4.34
Target6 4.22 4.58 4.40
Target7 4.34 4.49 4.41
Target8 5.11 4.50 4.80
Target9 6.31 5.40 5.86
Target10 5.37 6.47 5.92
Target11 6.48 7.22 6.85
Target12 8.43 9.19 8.81
Target13 9.31 11.07 10.19
Target14 11.89 11.72 11.81
Target15 10.88 14.74 12.81
Target16 11.53 14.31 12.92
Target17 12.62 13.25 12.93
Target18 14.58 13.36 13.97
Target19 13.34 15.34 14.34
Target20 14.13 15.23 14.68
MW 451 fSP3 0.21
cLogP 4.1 TPSA 77
HBD 1 HBA 3
SKETCH
ENUMERATE
DOCK
PLOT
IMPORT
Integrated, Intuitive
2D, 3D, data, visuals
The concept originated from our desire to improve efficiency,
increase compound quality, and reduce attrition
Efficiency
• Drug design
• Selection of
chemistry targets
Quality
• Physico-chemical
properties
• PK/Safety
Success
• Reduce attrition
• Patient benefit
How to achieve our goals: what do our chemists want and need?
• 12 Workshops
– 4 R&D sites
– ~100 chemists
• Open session at the GSK Chemistry Conference (including our CEO!)
• Pan R&D Survey
– Who designs molecules?
– How?
5/22/2015 15
What is LiveDesign?
• A design tool for small molecule medicinal & computational chemists
– Drawing, importing, enumerating structures
– Calculating properties
– Searching structure databases
– Import of measured data
– Visualisation of data & structures
– Generation & visualisation of 3D conformers
– Visualisation of Protein structures
– Collaboration environment
– Project based views & preferences
– Ability to add new calculations & workflows
– Advanced functionality (…see later)
• Consolidation of many existing tools into a single platform, replacing those that
are outdated or unsustainable
LiveDesign Architecture
5/22/2015 17
Live Reports – The core of the platform
5/22/2015 18
195/22/2015
On demand properties
Sketch, search, import, enumerate
205/22/2015
Predefined templates
Sketch, search, import, enumerate
215/22/2015
Predefined templates
Sketch, search, import, enumerate
Collaboration
225/22/2015
Predefined templates
Sketch, search, import, enumerate
Collaboration
Design and analysis
Models and computational tools
Protein data and experimental results
Advanced tools
Collaborative and 3D features
23
Enumeration
Multi-pose support
5/22/2015 25
Model Management
More features being developed and integrated……
• Many more…….Prioritization needed by the chemistry community over the next 1-2 months
5/22/2015 27
Binding Interaction Highlights
P450 Site of Metabolism
Multi-Parameter Optimization
Model Versioning
Atomic Contribution Mapping
Benefits
5/22/2015 28
• Reduce cycle times for lead optimization
• Unlock users
• Efficiency
Unified platform
• Get peer review and team feedback on both
virtual and synthesized compounds
• Share ideas and contribute to projects across
GSK
Collaborative
environment
• Time and cost savings
• The cost of losing a compound after Candidate
Selection estimated as £6M
Simplification
Challenges!!!
5/22/2015 29
• Niche workflows
• Customized tools established
Heterogeneous
end user groups
in a global
organization
• Worldwide access
• Security
• Bugs
Performance
• Co-existing software
• Browsers and plug-ins
Compatibility
Key factors to success
5/22/2015 30
• Speed similar or better than
existing tools
• Smooth - not “buggy”
Performance
• Appealing interface
• Quality renderingLook and Feel
• Easy to use
• Minimal trainingIntuitive
• GSK-Schrödinger
• End users
• Shape the final release
Communication
Get it right
Happy chemists!
High user uptake
315/22/2015
THANK YOU

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EUGM15 - Stephen Pickett (GlaxoSmithKline): Development of web-based Chemistry Design Tools at GlaxoSmithKline

  • 1. Development of web-based Chemistry Design Tools at GlaxoSmithKline Stephen Pickett May 20th, 2015 ChemAxon UGM, Budapest
  • 2. The Discovery Process gene protein target screen and identify lead Lead optimisation chemical diversity (compound library) test safety& efficacy in animals and humans Targets Hits Leads Candidates Drugs Products
  • 3. Drug discovery and computational design and prediction Target Selection Candidate Selection Product Differentiation Market Entry Target ID Lead Discovery Lead Optimisation Preclinical Development POC Full Development Registration Predictive ADMET Structural Genomics Sequence homology Molecular Diversity Library Design Molecular Similarity HTS analysis (Q)SAR analysis Attrition analysis/risk assessment Structure Based Design Ligand based Design Solid state/multi scale modelling
  • 4. Drug discovery made simple Corporate collection Screen Analysis What to make next? Make it What’s here to begin with? What should we add? Primary target assay Selectivity assays Developability screens Disease models “Decision support” Clustering Machine learning Visualisation Are we there yet? Predictive models Design algorithms
  • 5. Current State: tools covering many application areas • Data access and reporting • SAR analysis and visualisation • Reagent selection and enumeration • Similarity, clustering, focussed sets • Alignment and pharmacophore generation • Protein/ligand visualisation and interpretation • QSAR modelling –Local and global models • Docking, scoring, idea prioritisation 55/22/2015 New compound design
  • 6. Simple set up CornerShops Target A Search Corporate Data Select Assays Or suggest by project/target
  • 7. Email alerting service Configurable data refresh intervals Launch of data into excel or Spotfire templates Compound property tracking Project Data Management - CornerShops
  • 8. Project Data Management – Structure Viewers Crystallography data and comments Cornershop data Prealigned view GRID and other map views Electron density
  • 9. BioDig ADME (Hussain, Rea, JCIM, 2010, 50, 339-348) “What possible changes could be made to the compound to improve its clearance ? Binned ACTIVITY_CHANGE 1 2 3 5 4 17 21 7 2 -2.2 -1.8 -1.4 -1 -0.6 -0.2 0.2 0.6 1 1.4 1.8 2.2 0 5 10 15 20 PROFILE_CLUSTER - 22 PROFILE_CLUSTER - 28 PROFILE_CLUSTER - 33 PROFILE_CLUSTER - 23 PROFILE_CLUSTER - 31 PROFILE_CLUSTER - 34 PROFILE_CLUSTER - 27 PROFILE_CLUSTER - 32 PROFILE_CLUSTER - 38 - - - 0 + + + - - - 0 + + + - - - 0 + + + 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 90 100 Matched Molecular Pairs analysis in compound design
  • 10. State of the art design in global tools MW HBD RB HBA CELL SIZE 0 100 200 300 400 0 192 384 576 768 960 1152 1344 1536 Library Size OccupiedCells CONSTRAINED UNCONSTRAINED SELECT Diversity Library Size T. Wright, V. J. Gillet, D.V.S. Green & S.D. Pickett, Optimizing the Size and Configuration of Combinatorial Libraries. J. Chem. Inf. Comput. Sci. (2003), 43(2), 381-390.
  • 11. QSAR modelling and deployment – expert to end user (JCAMD, 2013, 27, 321-336) Published Model available as WS
  • 13. To this… GREAT look and feel No compromise Science Evolving science CSC plug-ins Replace & retire Adept, Adamantis, CSC web apps Robust High Performance Personalised iDesign Configurable iDesign Fragments Collaborative Ideas sharing Target IC50 IC50 AVG IC50 Target1 1.99 -1.84 0.08 Target2 2.50 -0.10 1.20 Target3 1.81 4.62 3.22 Target4 5.91 2.59 4.25 Target5 4.15 4.52 4.34 Target6 4.22 4.58 4.40 Target7 4.34 4.49 4.41 Target8 5.11 4.50 4.80 Target9 6.31 5.40 5.86 Target10 5.37 6.47 5.92 Target11 6.48 7.22 6.85 Target12 8.43 9.19 8.81 Target13 9.31 11.07 10.19 Target14 11.89 11.72 11.81 Target15 10.88 14.74 12.81 Target16 11.53 14.31 12.92 Target17 12.62 13.25 12.93 Target18 14.58 13.36 13.97 Target19 13.34 15.34 14.34 Target20 14.13 15.23 14.68 MW 451 fSP3 0.21 cLogP 4.1 TPSA 77 HBD 1 HBA 3 SKETCH ENUMERATE DOCK PLOT IMPORT Integrated, Intuitive 2D, 3D, data, visuals
  • 14. The concept originated from our desire to improve efficiency, increase compound quality, and reduce attrition Efficiency • Drug design • Selection of chemistry targets Quality • Physico-chemical properties • PK/Safety Success • Reduce attrition • Patient benefit
  • 15. How to achieve our goals: what do our chemists want and need? • 12 Workshops – 4 R&D sites – ~100 chemists • Open session at the GSK Chemistry Conference (including our CEO!) • Pan R&D Survey – Who designs molecules? – How? 5/22/2015 15
  • 16. What is LiveDesign? • A design tool for small molecule medicinal & computational chemists – Drawing, importing, enumerating structures – Calculating properties – Searching structure databases – Import of measured data – Visualisation of data & structures – Generation & visualisation of 3D conformers – Visualisation of Protein structures – Collaboration environment – Project based views & preferences – Ability to add new calculations & workflows – Advanced functionality (…see later) • Consolidation of many existing tools into a single platform, replacing those that are outdated or unsustainable
  • 18. Live Reports – The core of the platform 5/22/2015 18
  • 19. 195/22/2015 On demand properties Sketch, search, import, enumerate
  • 21. 215/22/2015 Predefined templates Sketch, search, import, enumerate Collaboration
  • 22. 225/22/2015 Predefined templates Sketch, search, import, enumerate Collaboration Design and analysis Models and computational tools Protein data and experimental results Advanced tools
  • 23. Collaborative and 3D features 23
  • 27. More features being developed and integrated…… • Many more…….Prioritization needed by the chemistry community over the next 1-2 months 5/22/2015 27 Binding Interaction Highlights P450 Site of Metabolism Multi-Parameter Optimization Model Versioning Atomic Contribution Mapping
  • 28. Benefits 5/22/2015 28 • Reduce cycle times for lead optimization • Unlock users • Efficiency Unified platform • Get peer review and team feedback on both virtual and synthesized compounds • Share ideas and contribute to projects across GSK Collaborative environment • Time and cost savings • The cost of losing a compound after Candidate Selection estimated as £6M Simplification
  • 29. Challenges!!! 5/22/2015 29 • Niche workflows • Customized tools established Heterogeneous end user groups in a global organization • Worldwide access • Security • Bugs Performance • Co-existing software • Browsers and plug-ins Compatibility
  • 30. Key factors to success 5/22/2015 30 • Speed similar or better than existing tools • Smooth - not “buggy” Performance • Appealing interface • Quality renderingLook and Feel • Easy to use • Minimal trainingIntuitive • GSK-Schrödinger • End users • Shape the final release Communication Get it right Happy chemists! High user uptake