Back to Search
Start Over
Sequence and intramolecular distance scoring analyses of microbial rhodopsins
- Source :
- F1000Research
- Publication Year :
- 2016
- Publisher :
- F1000 Research Ltd, 2016.
-
Abstract
- Recent accumulation of sequence and structural data, in conjunction with systematical classification into a set of families, has significantly advanced our understanding of diverse and specific protein functions. Analysis and interpretation of protein family data requires comprehensive sequence and structural alignments. Here, we present a simple scheme for analyzing a set of experimental structures of a given protein or family of proteins, using microbial rhodopsins as an example. For a data set comprised of around a dozen highly similar structures to each other (overall pairwise root-mean-squared deviation < 2.3 Å), intramolecular distance scoring analysis yielded valuable information with respect to structural properties, such as differences in the relative variability of transmembrane helices. Furthermore, a comparison with recent results for G protein-coupled receptors demonstrates how the results of the present analysis can be interpreted and effectively utilized for structural characterization of diverse protein families in general.
- Subjects :
- 0301 basic medicine
Specific protein
Protein family
Bioinformatics
receptor
Computational biology
Biology
General Biochemistry, Genetics and Molecular Biology
Set (abstract data type)
opsin
03 medical and health sciences
0302 clinical medicine
coordinates
General Pharmacology, Toxicology and Pharmaceutics
Protein Chemistry & Proteomics
crystallography
Sequence (medicine)
General Immunology and Microbiology
Membrane
Articles
General Medicine
Data set
Transmembrane domain
030104 developmental biology
Intramolecular force
Pairwise comparison
Neuroscience
030217 neurology & neurosurgery
Research Article
Subjects
Details
- ISSN :
- 20461402
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- F1000Research
- Accession number :
- edsair.doi.dedup.....bb5e972f0f770fe328e644fd27c623d0
- Full Text :
- https://doi.org/10.12688/f1000research.7920.2