| Title |
Generic GPCR residue numbers – aligning topology maps while minding the gaps
|
|---|---|
| Published in |
Trends in Pharmacological Sciences, December 2014
|
| DOI | 10.1016/j.tips.2014.11.001 |
| Pubmed ID | |
| Authors | |
| Abstract |
Generic residue numbers facilitate comparisons of, for example, mutational effects, ligand interactions, and structural motifs. The numbering scheme by Ballesteros and Weinstein for residues within the class A GPCRs (G protein-coupled receptors) has more than 1100 citations, and the recent crystal structures for classes B, C, and F now call for a community consensus in residue numbering within and across these classes. Furthermore, the structural era has uncovered helix bulges and constrictions that offset the generic residue numbers. The use of generic residue numbers depends on convenient access by pharmacologists, chemists, and structural biologists. We review the generic residue numbering schemes for each GPCR class, as well as a complementary structure-based scheme, and provide illustrative examples and GPCR database (GPCRDB) web tools to number any receptor sequence or structure. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 50% |
| Sweden | 1 | 13% |
| Denmark | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | <1% |
| United Kingdom | 3 | <1% |
| Spain | 3 | <1% |
| Denmark | 3 | <1% |
| United States | 1 | <1% |
| Greece | 1 | <1% |
| Czechia | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 501 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 102 | 20% |
| Student > Ph. D. Student | 94 | 18% |
| Student > Master | 69 | 13% |
| Student > Bachelor | 61 | 12% |
| Other | 17 | 3% |
| Other | 59 | 11% |
| Unknown | 116 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 126 | 24% |
| Agricultural and Biological Sciences | 80 | 15% |
| Chemistry | 72 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 57 | 11% |
| Medicine and Dentistry | 16 | 3% |
| Other | 34 | 7% |
| Unknown | 133 | 26% |