A Wellcome Trust-funded project to extend the Guide to PHARMACOLOGY (www.guidetopharmacology.org) to include data on key immunological data types and associate these to drugs and drug targets. Presented at the ELIXIR-UK All-Hand Meeting, Edinburgh, Nov 2017.
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
IUPHAR Guide to IMMUNOPHARMACOLOGY
1. GtoImmuPdb Portal
Aims
●
A unique access-point to
immunological data in
GtoPdb
●
An expert-curated
database containing
immunological
information
●
Develop new pages and
extend search mechanism
for immunological data
●
Assist in the identification
of potential targets
●
Assist in identifying
experimental small-
molecules for testing
S. D. Harding1
, E. Faccenda1
, S. Ireland1
, A. J. Pawson1
, J. L. Sharman1
, C. Southan1
, S. P. Alexander2
,
S. Anderton3
, C. Bryant4
, A. P. Davenport5
, C. Doerig6
, D. Fabbro7
, F. Levi-Schaffer8
, M. Spedding9
, J. A. Davies1
1Centre for Integrative Physiology, School of Biomedical Sciences, University of Edinburgh, Edinburgh, UNITED KINGDOM, 2Life Sciences, University of Nottingham, Nottingham, UNITED KINGDOM,3MRC Centre for Inflammation Research, QMRI, University
of Edinburgh, Edinburgh, UNITED KINGDOM, 4
Veterinary Medicine, University of Cambridge, Cambridge, UNITED KINGDOM,5
Clinical Pharmacology Unit, University of Cambridge, Cambridge, UNITED KINGDOM, 6
Department of Microbiology, Monash
University, Clayton, AUSTRALIA, 7PIQUR Therapeutics AG, Basel, SWITZERLAND, 8School of Pharmacy, Institute for Drug Research, Hebrew University of Jerusalem, Jerusalem, ISRAEL, 9Spedding Research Solutions SARL, Le Vesinet, FRANCE.
Introduction
Background
Immune/inflammatory/infection responses and disorders are a major focus of
pharmacological R&D. Chronic diseases, aspects of ageing and progress of infection all
have, or depend strongly on, an immune, or inflammatory, component. Being able to
modulate these more effectively with better drugs would be immensely valuable.
Development of these drugs will benefit from improved data exchange between the
immunology expert and pharmacology expert communities.
What is the Guide to IMMUNOPHARMACOLOGY
Our Wellcome Trust-funded project to produce the IUPHAR Guide to
IMMUNOPHARMACOLOGY (GtoImmuPdb) addresses this need by providing a new
portal to the existing IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb), that is both
'immunologist-friendly' for pharmacological information and 'pharmacologist-friendly'
for accessing immunological agents and targets. GtoImmuPdb will be a freely-available,
regularly updated and richly annotated resource. Curated by expert sub-committees
at NC-IUPHAR, including those with expertise in immunity, inflammation and kinase
biology.
GtoImmuPdb Data
The GtoP database has been enriched by tagging targets & ligands of
immunological relevance and by linking these to immunological processes, cell
types and relevant diseases.
Public, beta-version of the Guide to IMMUNOPHARMACOLOGY available at:
www.guidetoimmunopharmacology.org
The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb) is an open access
resource providing overviews of key properties, background reading and
selective ligands of a wide range of biological targets.
The searchable database provides
quantitative information on drug
targets and the prescription medicines
and experimental drugs that act on
them. For ligands, data on approved
status, clinical use and mechanism of
action are included.
References
1. Cell Ontology (OBO foundry),
http://obofoundry.org/ontology/cl.html ontology.org
2. Gene Ontology Consortium,http://geneontology.org
Human targets in GtoPdb, 2017.5 release
Ligand classes in GtoPdb, 2017.5 release
The 2017.5 release (August 2017)
of the database contains over
15,200 curated interactions across
1,684 human targets and 8,978
ligands. More specifically, the
database contains 1,431 human
targets that have quantitative
interactions to a ligand.
Immuno Process and Cell Type Data
GtoImmuPdb presents a set of top-level immunological process and cell type
categories against which targets in the database can be annotated and which
form the basis of organising, navigating and searching for immunological
process and cell type associations.
Subsets of these ontologies are mapped to each top-level category. This then
forms the basis of searches which will detect any cell type or process
associations annotated with those terms (or their children).
Target detailed view pages
display process and cell
type associations
Including detailed curator
comments and links to
external references
As of 9 Oct 2017 the development GtoImmuPdb held 455 protein targets
and 816 ligands tagged as being of immunological relevance.
GtoImmuPdb uses both
Cell Ontology1
and Gene
Ontology2
terms as
controlled vocabularies
against which to
annotate. Displaying GtoImmuPdb data in detailed view of BTK
Immuno Cell Types
B cells
Dendritic cells
Granulocytes
Innate lymphoid cells
Macrophages & monocytes
Mast cells
Natural killer cells
Other T cells
T cells
Stromal cells
Immuno Processes
Antigen presentation
Barrier integrity
B cell (activation)
Cellular signalling
Chemotaxis & migration
Cytokine production & signalling
Immune regulation
Immune system development
Inflammation
T cell (activation)
Tissue repair
Top-level categories for annotation in GtoImmuPdb
Targets Ligands
Cell types Processes
Disease
Target family pages use a toggle
to switch between GtoPdb &
GtoImmuPdb views
Ligand lists highlight
immuno relevant ligands
with new icons.
Here showing inhibitors
of BTK