intramolecular distance
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2020 ◽  
Vol 321 ◽  
pp. 49-58 ◽  
Author(s):  
Jinhwan Cho ◽  
Junyong Park ◽  
Songwon Kim ◽  
Jong Chul Kim ◽  
Giyoong Tae ◽  
...  

2020 ◽  
Vol 60 (4) ◽  
pp. 2091-2099
Author(s):  
Michael J. Bower ◽  
Alex M. Aronov ◽  
Thomas Cleveland ◽  
Niresh Hariparsad ◽  
Georgia B. McGaughey ◽  
...  

Nano Letters ◽  
2016 ◽  
Vol 16 (9) ◽  
pp. 5353-5357 ◽  
Author(s):  
Thomas Zettl ◽  
Rebecca S. Mathew ◽  
Sönke Seifert ◽  
Sebastian Doniach ◽  
Pehr A. B. Harbury ◽  
...  

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 165
Author(s):  
Miki Asano ◽  
Shunta Ide ◽  
Atsushi Kamata ◽  
Kiyohiro Takahasi ◽  
Tetsuji Okada

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.


F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 165 ◽  
Author(s):  
Miki Asano ◽  
Shunta Ide ◽  
Atsushi Kamata ◽  
Kiyohiro Takahasi ◽  
Tetsuji Okada

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.


2011 ◽  
Vol 11 (Suppl 2) ◽  
pp. A21
Author(s):  
Azmat Sohail ◽  
Peggy Stolt-Bergner ◽  
Gerhard F Ecker ◽  
Michael Freissmuth ◽  
Thomas Stockner ◽  
...  

2010 ◽  
Vol 10 (S1) ◽  
Author(s):  
Azmat Sohail ◽  
Peggy Stolt-Bergner ◽  
Gerhard F Ecker ◽  
Michael Freissmuth ◽  
Harald Sitte ◽  
...  

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