The data types captured in this dataset include target nomenclature, pharmacological data, and ligand structures. Organisms isolated for this data are from human, mouse, and rat. There are 6929 human proteins and rat and mouse orthologues (i.e. 84% of a maximum projected three-species where the 16% either do not have Swiss-ProtIDs yet or IUPHAR curation indicates that the orthology relationship is more complex than 1:1 case) in this database. Information from mouse and rat are presented as rodent binding data are the most common type mentioned in papers, in addition or as a replacement for human data.
In future versions, the plan is to add resources for education and training in pharmacological principles and techniques along with research guidelines and overviews of key topics. It is the hope of IUPHAR/BPS Guide to PHARMACOLOGY to be useful for researchers and students in pharmacology and drug discovery and provide the general public with accurate information on the basic science underlying drug action.
The information provided in this dataset shows the initial view or landing pages for each target family that provides expert-curated overviews of the key properties and selective ligands and tool compounds available. Additional information can be found also in other databases including Ensembl, UniProt, PubChem, ChEMBL, and DrugBank, as well as curated chemical information and literature citations in PubMed.
In this dataset, the target class or “target” refers to a record in the database that has been resolved to a UniProtKB/SwissProt ID as the primary identifier. Target class content includes the following 7TM receptors, Nuclear hormone receptors, Catalytic receptors, Ligand-gated ion channels, Voltage-gated ion channels, Other ion channels, Enzymes (all), Transporters, Kinases, Proteases and Other proteins. Note that not all 7TM receptor records are unequivocally assigned as GPCRs, but for convenience, they are referred to generally as GPCRs or G protein-coupled receptors in the study.
As stated in the study, the term “target” in the database also includes verified targets for the MMOAs for drugs used to treat human diseases, newer receptor-ligand pairings judged to be credible by a dedicated NC-IUPHAR subcommittee, and human targets identified by the orthologue activity mapping where only non-human binding data are available. In addition, the database also contains the targets of undesirable ligand interactions known as anti-targets as well as emergent targets which are proteins that do not have sufficient validation data to be considered bonafide therapeutic drug targets but are nonetheless being investigated to both establish their normal function and possible disease involvement.
This updated database enables a more detailed exploration of statistics as it provides a detailed overview of the database and allows comparison with other resources, communication of results to users and funders, measures progress and identifies areas for expansion.