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OpenTox Euro 2013

Chemical decision support in
toxicology and pharmacology

Ola Spjuth
ola.spjuth@farmbio.uu.se
Department of Pharmaceutical Biosciences
Faculty of Pharmacy, Uppsala University
Open standards facilitates integration
• Aim: Take advantage of the OpenTox
infrastructure in Bioclipse
– Look up services (e.g. data and models)
– Consume services (download, upload, run
predictions)
– Create nice GUI for OpenTox infrastructure
– Integrate with Bioclipse offline capabilities
Bioclipse – an open source
workbench for the life sciences

O. Spjuth, J. Alvarsson, A. Berg, M. Eklund, S. Kuhn, C. Mäsak, G. Torrance, J. Wagener, E.L. Willighagen, C. Steinbeck, and
J.E.S. Wikberg. Bioclipse 2: A scriptable integration platform for the life sciences. BMC Bioinformatics 2009, 10:397
Spjuth O, Helmus T, Willighagen EL, Kuhn S, Eklund M, Wagener J, Murray-Rust P, Steinbeck C, Wikberg JES: Bioclipse: an
open source workbench for chemo- and bioinformatics. BMC Bioinformatics 2007, 8:59.
Component-based architecture

3D
2D

Data analysis

Bioclipse

Predictions
Drug design

Databases
Bioclipse Scripting Language
Eclipse: Proven technology

6
Example: Dutch railways
From data to predictions
Preprocess
data

Download,
edit, visualize,
preprocess
structures and
metadata

Create and
assess
models

Statistical
modeling and
validation

Deploy
models

Package and
deliver model
to users in a
flexible, secure
format

Remote

Remote

Local

Local

Consume
models

Enable userfriendly
consumption
of services
Bioclipse-QSAR:
Reproducible QSAR datasets

O. Spjuth, E.L. Willighagen, R. Guha, M. Eklund, and J.E.S. Wikberg. Towards
interoperable and reproducible QSAR analyses: Exchange of data sets.
Journal of Cheminformatics 2010, 2:5
Bioclipse Decision Support for
assessing chemical liabilities
• Original plan: Use Bioclipse workbench
and provisioning system to:
– Run models locally
• fast execution, no need for network connection

– Deliver a customizes prediction workbench
• Just install the plugins you desire

• Evolution: Also take advantage of
networked services (e.g. SOAP, XMPP,
OpenTox)
Chemical Decision Support for
safety assessment
• Integrate various predictive models
– Similarity searches (InChi, signatures,
fingerprints)
– Structural alerts (toxicophores)
– QSAR models (classification, regression)

• Demonstrated on drug safety endpoints:
– Mutagenicity (AMES)
– Carcinogenicity (CPDB)
– AHR inhibition (PubChem BioAssay 2796)
O. Spjuth, L. Carlsson, M. Eklund, E. Ahlberg Helgee, and Scott Boyer.
Integrated decision support for assessing chemical liabilities.
J. Chem. Inf. Model, 2011, 51 (8), pp 1840-1847
Bioclipse Decision Support
Bioclipse Decision Support

Model
discovery

predictions
Report model validation
Scripting OpenTox in Bioclipse
Related work
• Modeling in Bioclipse
– Integrated solutions (e.g. libsvm)
– Modeling with R

• Publish Bioclipse models using p2

• Visualizations
Related work 2
• Secure provisioning of offline models

• Model building on HPC/cloud resources
• Secondary pharmacology predictions
• Biological similarity: QuantMap

Schaal W, Hammerling U, Gustafsson MG, Spjuth O.
Automated QuantMap for rapid quantitative
molecular network topology analysis.
Bioinformatics. 2013 Sep 15;29(18):2369-70.
Next steps: Bioclipse-OpenTox
• Better indication of AA, status,
classification, and confidence of results
(API improvements?)
• Distinguish local and remote services
better
• Highlight OpenTox substructure results
• Categorization of models
Predicting nanotoxicity using
OpenTox from Bioclipse
Acknowledgement: The Chemistry
Development Kit (CDK)
• Most prominent open source Java library
for cheminformatics
• Coordinated from Maastricht University
(Egon Willighagen) and EBI (Christoph
Steinbeck)
• ~200 citations
• Widely Used in academia and pharma
industry
– AstraZeneca, Bayer, Merck-Serono, Sanofi
Aventis, Eli Lilly, Novartis
• Providing commercial support around
the topics of Bioclipse and statistical
modeling.
• Research, implementations, education,
branding/deployment
• www.genettasoft.com
Acknowledgements
Dept. Pharmaceutical Biosciences,
Uppsala University, SWE

Maastricht University, NL
Egon Willighagen

Jarl E. S. Wikberg
Martin Eklund

University of Copenhagen, DK

Jonathan Alvarsson

Patrik Rydberg

Arvid Berg

Michal Rostkowski

Samuel Lampa
Valentin Giorgiev

Ideaconsult, SLO

Wesley Schaal

Nina Jeliazkova

Dept Medical Sciences, Uppsala
University, SWE

AstraZeneca R&D, Sweden

Mats Gustafsson
Ulf Hammerling
Karolinska Institutet, Sweden
Roland Grafström
Rebecca Ceder
Pekka Kohonen

Scott Boyer
Lars Carlsson
Ernst Ahlberg
Jan Person
Ola Engqvist
Tobias Noeske

Ulf Norinder
Douglas Connect
Barry Hardy
OpenTox 2011

- Thank you -

Ola Spjuth
ola.spjuth@farmbio.uu.se
Department of Pharmaceutical Biosciences
Faculty of Pharmacy, Uppsala University

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Chemical decision support in toxicology and pharmacology (OpenToxEU 2013)

  • 1. OpenTox Euro 2013 Chemical decision support in toxicology and pharmacology Ola Spjuth ola.spjuth@farmbio.uu.se Department of Pharmaceutical Biosciences Faculty of Pharmacy, Uppsala University
  • 2. Open standards facilitates integration • Aim: Take advantage of the OpenTox infrastructure in Bioclipse – Look up services (e.g. data and models) – Consume services (download, upload, run predictions) – Create nice GUI for OpenTox infrastructure – Integrate with Bioclipse offline capabilities
  • 3. Bioclipse – an open source workbench for the life sciences O. Spjuth, J. Alvarsson, A. Berg, M. Eklund, S. Kuhn, C. Mäsak, G. Torrance, J. Wagener, E.L. Willighagen, C. Steinbeck, and J.E.S. Wikberg. Bioclipse 2: A scriptable integration platform for the life sciences. BMC Bioinformatics 2009, 10:397 Spjuth O, Helmus T, Willighagen EL, Kuhn S, Eklund M, Wagener J, Murray-Rust P, Steinbeck C, Wikberg JES: Bioclipse: an open source workbench for chemo- and bioinformatics. BMC Bioinformatics 2007, 8:59.
  • 8. From data to predictions Preprocess data Download, edit, visualize, preprocess structures and metadata Create and assess models Statistical modeling and validation Deploy models Package and deliver model to users in a flexible, secure format Remote Remote Local Local Consume models Enable userfriendly consumption of services
  • 9. Bioclipse-QSAR: Reproducible QSAR datasets O. Spjuth, E.L. Willighagen, R. Guha, M. Eklund, and J.E.S. Wikberg. Towards interoperable and reproducible QSAR analyses: Exchange of data sets. Journal of Cheminformatics 2010, 2:5
  • 10. Bioclipse Decision Support for assessing chemical liabilities • Original plan: Use Bioclipse workbench and provisioning system to: – Run models locally • fast execution, no need for network connection – Deliver a customizes prediction workbench • Just install the plugins you desire • Evolution: Also take advantage of networked services (e.g. SOAP, XMPP, OpenTox)
  • 11. Chemical Decision Support for safety assessment • Integrate various predictive models – Similarity searches (InChi, signatures, fingerprints) – Structural alerts (toxicophores) – QSAR models (classification, regression) • Demonstrated on drug safety endpoints: – Mutagenicity (AMES) – Carcinogenicity (CPDB) – AHR inhibition (PubChem BioAssay 2796) O. Spjuth, L. Carlsson, M. Eklund, E. Ahlberg Helgee, and Scott Boyer. Integrated decision support for assessing chemical liabilities. J. Chem. Inf. Model, 2011, 51 (8), pp 1840-1847
  • 15. Scripting OpenTox in Bioclipse
  • 16. Related work • Modeling in Bioclipse – Integrated solutions (e.g. libsvm) – Modeling with R • Publish Bioclipse models using p2 • Visualizations
  • 17. Related work 2 • Secure provisioning of offline models • Model building on HPC/cloud resources • Secondary pharmacology predictions • Biological similarity: QuantMap Schaal W, Hammerling U, Gustafsson MG, Spjuth O. Automated QuantMap for rapid quantitative molecular network topology analysis. Bioinformatics. 2013 Sep 15;29(18):2369-70.
  • 18. Next steps: Bioclipse-OpenTox • Better indication of AA, status, classification, and confidence of results (API improvements?) • Distinguish local and remote services better • Highlight OpenTox substructure results • Categorization of models
  • 20. Acknowledgement: The Chemistry Development Kit (CDK) • Most prominent open source Java library for cheminformatics • Coordinated from Maastricht University (Egon Willighagen) and EBI (Christoph Steinbeck) • ~200 citations • Widely Used in academia and pharma industry – AstraZeneca, Bayer, Merck-Serono, Sanofi Aventis, Eli Lilly, Novartis
  • 21. • Providing commercial support around the topics of Bioclipse and statistical modeling. • Research, implementations, education, branding/deployment • www.genettasoft.com
  • 22. Acknowledgements Dept. Pharmaceutical Biosciences, Uppsala University, SWE Maastricht University, NL Egon Willighagen Jarl E. S. Wikberg Martin Eklund University of Copenhagen, DK Jonathan Alvarsson Patrik Rydberg Arvid Berg Michal Rostkowski Samuel Lampa Valentin Giorgiev Ideaconsult, SLO Wesley Schaal Nina Jeliazkova Dept Medical Sciences, Uppsala University, SWE AstraZeneca R&D, Sweden Mats Gustafsson Ulf Hammerling Karolinska Institutet, Sweden Roland Grafström Rebecca Ceder Pekka Kohonen Scott Boyer Lars Carlsson Ernst Ahlberg Jan Person Ola Engqvist Tobias Noeske Ulf Norinder Douglas Connect Barry Hardy
  • 23. OpenTox 2011 - Thank you - Ola Spjuth ola.spjuth@farmbio.uu.se Department of Pharmaceutical Biosciences Faculty of Pharmacy, Uppsala University

Editor's Notes

  1. Open sourceEclipseplugin architecture
  2. Mutagenicity: ability of a substance to induce mutations to DNACarcinogenic Potency Database (CPDB)aryl hydrocarbon receptor (AHR), transcription factor involved in metabolizing enzymes, important target because of a promiscuous ligand binding site
  3. Advantages:Fast: Run on local computersInterpretable results: Can be used for hypothesis generationGeneral: Can integrate any modeling technique and be applied to any data setExtensible: Very easy to add new components