Current Awareness

TinyGRAP database: a bioinformatics tool to mine G-protein-coupled receptor mutant data

Despite the significant efforts and discoveries during the last few years in G protein-coupled receptor (GPCR) expression and crystallization, the receptors with known structures to date are limited only to a small fraction of human GPCRs. The lack of experimental three-dimensional structures of the receptors represents a strong limitation that hampers a deep understanding of their function. Computational techniques are thus a valid alternative strategy to model three-dimensional structures. Indeed, recent advances in the field, together with extraordinary developments in crystallography, in particular due to its ability to capture GPCRs in different activation states, have led to encouraging results in the generation of accurate models. This, prompted the community of modelers to render their methods publicly available through dedicated databases and web-servers. Here, we present an extensive overview on these services, focusing on their advantages, drawbacks and their role in successful applications. Future challenges in the field of GPCR modeling, such as the predictions of long loop regions and the modeling of receptor activation states are presented as well.

Trace amines are endogenous compounds structurally related to classical biogenic amines that have been studied for decades, triggered by their link to psychiatric conditions of high epidemiological and economical relevance. The understanding of their pharmacology on the molecular level was hampered until the recent discovery of trace-amine-specific receptors. We completed the identification of all members of this novel GPCR family in human, chimpanzee, rat, and mouse and observed remarkable interspecies differences, even between human and chimpanzee. The analysis of the chromosomal localizations, phylogenetic relationships, and ligand pocket vectors reveals three distinct receptor subfamilies. As most of these receptors do not respond to trace amines, each subfamily will presumably have a distinct pharmacological profile, which remains to be identified. We propose a uniform nomenclature describing this novel GPCR family in all mammalian species as trace-amine-associated receptors (TAARs), which resolves the ambiguities and contradictions of the previous naming.

Many G protein-coupled receptor (GPCR) models have been built over the years. The release of the structure of bovine rhodopsin in August 2000 enabled us to analyze models built before that period to learn more about the models we build today. We conclude that the GPCR modelling field is riddled with ‘common knowledge’ similar to Lord Kelvin’s remark in 1895 that “heavier-than-air flying machines are impossible”, and we summarize what we think are the (im)possibilities of modelling GPCRs using the coordinates of bovine rhodopsin as a template. Associated WWW pages: http://www.gpcr.org/articles/2003_mod/.