GPCRdb: the G protein‐coupled receptor database – an introduction

By Christian Munk, Vignir Ísberg, Stefan Mordalski, Kasper Harpsøe, Krzysztof Rataj, Alexander Sebastian Hauser, Peter Kolb, Andrzej J. Bojarski, G. Vriend, David E. Gloriam. 2016

195 citations recorded by the source corpus.

GPCRs make up the largest family of human membrane proteins and of drug targets. Recent advances in GPCR pharmacology and crystallography have shed new light on signal transduction, allosteric modulation and biased signalling, translating into new mechanisms and principles for drug design. The GPCR database, GPCRdb, has served the community for over 20 years and has recently been extended to include a more multidisciplinary audience. This review is intended to introduce new users to the services in GPCRdb, which meets three overall purposes: firstly, to provide reference data in an integrated, annotated and structured fashion, with a focus on sequences, structures, single‐point mutations and ligand interactions. Secondly, to equip the community with a suite of web tools for swift analysis of structures, sequence similarities, receptor relationships, and ligand target profiles. Thirdly, to facilitate dissemination through interactive diagrams of, for example, receptor residue topologies, phylogenetic relationships and crystal structure statistics. Herein, these services are described for the first time; visitors and guides are provided with good practices for their utilization. Finally, we describe complementary databases cross‐referenced by GPCRdb and web servers with corresponding functionality.

Subfields: Cellular and Molecular Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging

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David E. Gloriam

Citations in the corpus

GPCRdb in 2021: integrating GPCR sequence, structure and function (2020, background): “This also allows authors to map mutations using GPCRdb’s residue diagrams (snakeplots and helix box diagrams) or to compare mutated residues across receptors in residue tables while color-coding their effects on ligand binding or function (see (33,34)).”
Pharmacogenomics of GPCR Drug Targets (2018, unknown): “For instance, of the 108 GPCR drug targets, we ﬁnd that for 67 receptors, there is at least one allele with a mutation in the highly conserved 3.50 3 50 position (GPCRdb numbering) and for 41 receptors in the position 8.49 3 49.”
A Structural Framework for GPCR Chemogenomics: What's In a Residue Number? (2018, methodology): “Such alignments are currently easily available in an interactive manner in GPCRdb [66, 67].”
An Online Resource for GPCR Structure Determination and Analysis (2019, unknown): “2) 20,21 .”