The sixth and final IUPHAR/BPS Guide to PHARMACOLOGY release of 2017 has been published on 29th November. This release includes new content for the Guide to IMMUNOPHARMACOLOGY, which is currently still in beta phase. This release includes the following updates and new features:
Targets
Several new immunology-relevant proteins, across several target classes, have been added, along with ligands that interact with them.
| target symbol | TID | target class | GtoImmuPdb |
| VSIR | Other protein | y | |
| BCL6 | Other protein | y | |
| FOXN1 | Other protein | y | |
| GPC3 | Other protein | y | |
| TRIM21 | Enzymes | y | |
| IL-1R8 | Catalytic Receptors | y | |
| EPHX2 | Enzymes | y |
Further new ligands have also been added for existing targets.
The following existing targets have been reviewed and updated:
GPCRs:
- Adenosine receptors
- Cannabinoid receptors
- Glucagon receptors
- Lysophosphatidic acid (LPA) receptors
- Opsin receptors have been added as a new family
The GPCR overview text has been updated with information on pseudogenes and olfactory receptors.
Ion channels:
New website features
The ability to download the results of database searches has been added. Click on the “Download” button at the top of the search results page to download a CSV file listing some basic information on the targets, ligands and families in the results. The file includes GtoPdb identifiers, UniProt accessions, gene symbols and ids, and ligand chemical structure identifiers. We intend to develop this further, possibly with customisable download options, and we welcome feedback on this feature to inform future development.
New Download as CSV option for search results
The Guide to IMMUNOPHARMACOLOGY (GtoImmuPdb) has issued the beta v2.2 release (see more details in the November technical blog) which includes an extension to the target advanced search. This now enables searching across the main GtoImmuPdb data types (processes, cell type and disease). Built into this is inferred searching of Gene Ontology and Cell Ontology terms. By way of example, if a user searches on the term ‘cytokine’ this will match to any GO term containing that term. The search results will then bring back any targets annotated to that term or any of its children. The results will display the matched parent terms, plus a count of the number of child terms annotated to the target (see screenshot below).
The above screenshot shows the first results for a search on ‘cytokine’. The target TLR4 is returned as it is annotated to many GO terms, or their children, where the GO term contains the word ‘cytokine’. For example, TLR4 is annotated to 24 terms that are children of the term ‘regulation of cytokine production’.
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