1. Using the IUPHAR Guide to IMMUNOPHARMACOLOGY
Simon D. Harding
University of Edinburgh, UK
www.guidetoimmunopharmacology.org
15 DECEMBER
BPS PHARMACOLOGY 2019
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2. Overview
• Development/Curation of the Guide to IMMUNOPHARMACOLOGY
• Database Content
• How to view immuno-relevant content
• Portal
• Target & Ligand Data
• Target Data via immunological processes and cell types
• Accessing data on case study on cardiovascular inflammation
• Disease Summary Pages
• Advanced Search
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The IUPHAR Guide to IMMUNOPHARMACOLOGY
Developed to deliver a knowledge-base that connects immunology with pharmacology
GtoImmuPdb is a Wellcome Trust-funded extension to the existing GtoPdb
1. Extended GtoPdb to contain key immunological data types and associate these with existing
targets and ligands
2. Developed a new portal to provide an immunologist-friendly access-point to the data to
allow easy browsing and searching
3. Continuing to curate new targets and pharmacological interactions
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Developing the Guide to IMMUNOPHARMACOLOGY
GtoP
Database
www.guidetopharmacology.org
IUPHAR/BPS Guide to
PHARMACOLOGY
(GtoPdb)
www.guidetoimmunopharmacology.org
IUPHAR/BPS Guide to
IMMUNOPHARMACOLOGY
(GtoImmuPdb)
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Developing the Guide to IMMUNOPHARMACOLOGY
GtoP
Database
www.guidetoimmunopharmacology.org
IUPHAR/BPS Guide to
IMMUNOPHARMACOLOGY
(GtoImmuPdb)
Curation
• Supported by NC-IUPHAR expert subcommittees
• Tag relevant targets and ligands already in GtoPdb
• Extended coverage to identify targets/ligands involved in
inflammation/immunity
• Curate associations between targets/ligands and immunological
processes, cell types and disease
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Database content
www.guidetopharmacology.org/about.jsp
www.guidetoimmunopharmacology.org/immuno/immunoHelpPage.jsp#gtoimmupdb_content
GtoPdb GtoImmuPdb
Human targets 2,937 578
Human targets with curated
interactions
1,788 536
Ligands 9,700 1,213
Ligands with curated
interactions
8,516 1,097
Approved Drugs 1,449 268
Antibodies 264 157
30% of targets with curated interactions are immune-
relevant
7. Overview
•
•
• How to view immuno-relevant content
• Portal
• Target Data & Ligand Data
•
•
•
•
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Ligand Data
• The database organises ligands by type and/or
category.
• Specific immuno category for ligand curated as
immunologically relevant
• Ligand summary pages contain the key
information on biological activity, clinical use,
molecular properties and structure.
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Ligand Summary Pages
Summary tab describes the ligand, its ‘type’,
synonyms, whether it’s an approved drug, and
links to external resources
Clinical data tab contains curated information about
clinical use and molecular mechanism of action.
16. Overview
•
•
• How to view immuno-relevant content
•
•
• Target Data via immunological processes and cell types
•
•
•
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Target data via immunological processes
• Clear connections between immunological processes and targets in
the database
• Top-level categories – such as T cell activation, underpinned by GO
biological processes, such as T cell mediate immunity.
• Ontologies provide a controlled vocabulary to annotate data. Also
good for interoperability.
11 top-level process categories
471 distinct child-terms
196 unique GtoPdb targets with
annotations against these terms
Source: UniProt
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Target data via immunological processes
• Each target links through to detailed view page
• Annotated GO process terms are listed
• Detailed immunopharmacology curators comments also displayed.
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Target data via immunological cell type
• Clear connections between immunological cell types and
targets in the database
• Top-level categories underpinned by Cell Ontology
terms.
10 top-level cell type categories
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Target data via immunological cell type
10 top-level cell type categories
• Clear connections between immunological cell types and
targets in the database
• Top-level categories underpinned by Cell Ontology
terms.
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Target data via immunological cell type
Pharmacology data for NKG2A (CD159a) – expressed in NK cells
• Role of natural killer cells in anti-tumour immunity
• NKG2A (CD159a) known to functions as a checkpoint in NK cell activation
26. Overview
•
•
• How to view immuno-relevant content
•
•
•
• Accessing data on a case study on cardiovascular inflammation
•
•
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27. Case study: targeting cardiovascular inflammation
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• Experimental data shows a causal role by immune and inflammatory responses in the
initiation and development of atherosclerosis, but there are no immunomodulatory
treatments in routine use.
• The CANTOS Phase 3 trial was the first to demonstrate that blockade of the IL-1β innate
immune pathway could achieve clinical efficacy in reducing recurrent cardiovascular events in
at risk patients
• Ridker et al. (2017) NEJM 377(12): 1119-1131 (PMID: 28845751)
• Canakinumab reduced rate of major cardiovascular events. But participants remained at risk
of recurrent CV events.
• Could efficacy be improved by targeting other elements of the IL-1β pathway?
• What information does the GtoImmuPdb contain that could inform further research?
28. Potential mechanisms to modulate the IL-1b pathway
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“There remains substantial residual inflammatory risk related to both IL-18 and IL-6 after IL-1β
inhibition with canakinumab. These data support further pharmacologic development of
therapies for atherothrombosis that target IL-18 or IL-6 signalling, or that can simultaneously
inhibit both IL-1β and IL-18 (such as NLRP3 inflammasome inhibitors).”
Ridker PM et al. (2019) European Heart Journal. doi: 10.1093/eurheartj/ehz542.
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29. Potential mechanisms to modulate the IL-1b pathway
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What can GtoImmuPdb tell us about:
i. IL-6
ii. IL-18
iii. NLRP3
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IL-6 ligand summary page
• Biological activity tab – list
binding data for 4 ligands
• 3 antibodies one of which,
siltuximab is already an approved
drug
• A useful starting point when
considering a way to target IL-6 –
pharmacological data and
immunological context.
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IL-18 ligand summary page
Tadekinig alfa is a recombinant IL-18 binding
protein that acts as a functional antagonist
of IL-18 activity. It is a clinical lead (Ph3) for
IL-18-driven MAS-like syndrome.
Evidence indicates that this is a druggable
target in the IL-1 pathway.
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There is evidence of pharmacological
modulation of NLRP3 in GtoImmuPdb,
including evidence that one inhibitor,
dapansutrile is a clinical lead for
autoinflammatory disease and heart
failure
NLRP3 - Inhibitors
37. Case study summary
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GtoImmuPdb contains curated evidence which supports the proposition that
modulation of targets at different levels of the IL-1 pathway have anti-
inflammatory outcomes
These mechanisms could be helpful in developing novel approaches to reduce
vascular inflammation in cardiovascular disease
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Disease Summary Pages
GtoPdb already has some
data associated with diseases.
More data associated with
disease through GtoImmuPdb
Developed disease summary
pages to consolidate the data.
Access via disease list –
indicating targets and ligands
associated with each disease
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Disease Summary Pages - CLL
Ligands section
• Expandable comments field
• Rituximab – role in treating CD20-
positive non-Hodgkins lymphoma and
CLL
• Also highlights role in several other
auto-immune conditions and
suppression of antibody-mediated
organ rejection
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Web Services
Computational access to the data in the database
The web services currently serve up JSON files
Users can retrieve families, targets, genes, ligands, interactions and text annotations.
https://www.guidetopharmacology.org/services/ligands?immuno=true
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GtoImmuPdb is an open-access resource
• Connecting pharmacological data to immunological concepts
• Expanded to include associations with immunological processes, cell type
and disease
• New portal to prioritise access and display of immune data
GtoImmuPdb can equips immunologists with a means to discover
pharmacological agents useful in their research
Provides a foundation for developing research into therapeutic modifiers of
the immune system
Conclusions
52. Acknowledgements
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GtoImmuPdb Scientific Advisors
Stephen P.H. Alexander, UK
Stephen Anderton, UK
Clare Bryant, UK
Anthony P. Davenport, UK
Jamie A. Davies, UK
Christian Doerig, Australia
Doriano Fabbro, Switzerland
Francesca Levi-Schaffer, Israel
Michael Spedding, France
Database Development and Curation
Simon D. Harding, Senior Database Developer, UK
Elena Faccenda, Database Curator, UK
Christopher Southan, Database Curator, UK
Adam Pawson, Senior Database Curator, UK
Dr. Joanna P. Sharman, Novo Nordisk, UK
Thanks also to
Expert subcommittees
IUPHAR ImmuPhar Section
Pasquale Maffia, University of Glasgow
Adriano Rossi, University of Edinburgh
Georgia Perona-Wright, University of Glasgow