The GPCRDB is a Molecular Class-Specific Information System (MCSIS) that collects, combines, validates and disseminates large amounts of heterogeneous data on G protein-coupled receptors (GPCRs). The GPCRDB contains experimental data on sequences, ligand-binding constants, mutations and oligomers, as well as many different types of computationally derived data such as multiple sequence alignments and homology models. The GPCRDB provides access to the data via a number of different access methods. It offers visualization and analysis tools, and a number of query systems. The data is updated automatically on a monthly basis.
GRIFFIN (G-protein-Receptor Interacting Feature Finding INstrument) uses a support vector machine and hidden markov model to predict G-protein coupled receptors (GPCRs) and G-protein coupling selectivity.
The IUPHAR database is an online reference resource for classes of human drug targets and related proteins. As well as providing recommended nomenclature, the database integrates information on the chemical, genetic, functional and pathophysiological properties of receptors and ion channels, curated and peer-reviewed from the biomedical literature by a network of experts. The database now includes information from four superfamilies in human and rodent model organisms: G protein-coupled receptors, voltage- and ligand-gated ion channels and nuclear hormone receptors (NHRs). New data types for NHRs include details on co-regulators, DNA binding motifs, target genes and 3D structures. The interface provides tools for the visualization and exploration of ligand structure-activity relationships and the structural diversity of compounds active at each target.
PRED-GPCR is a tool which queries user-supplied sequences against a database of HMMs corresponding to G-protein coupled receptor (GPCR) families in order to determine which GPCR family the query sequence most resembles.
SuperSweet is a collection of carbohydrates, artificial sweeteners and other sweet tasting agents like proteins and peptides. Structural information and properties such as number of calories, therapeutic annotations and a sweetness-index are stored in SuperSweet. The database provides a modeled 3D structure of the sweet taste receptor and binding poses of the small sweet molecules. A user-friendly graphical interface allows similarity searching, visualization of docked sweeteners into the receptor etc. A sweetener classification tree and browsing features allow quick requests to be made to the database.