↓ Skip to main content

PLOS

Multi-State Proteins: Approach Allowing Experimental Determination of the Formation Order of Structure Elements in the Green Fluorescent Protein

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
25 Mendeley
Title
Multi-State Proteins: Approach Allowing Experimental Determination of the Formation Order of Structure Elements in the Green Fluorescent Protein
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048604
Pubmed ID
Authors

Tatiana N. Melnik, Tatiana V. Povarnitsyna, Anatoly S. Glukhov, Bogdan S. Melnik

Abstract

The most complex problem in studying multi-state protein folding is the determination of the sequence of formation of protein intermediate states. A far more complex issue is to determine at what stages of protein folding its various parts (secondary structure elements) develop. The structure and properties of different intermediate states depend in particular on these parts. An experimental approach, named μ-analysis, which allows understanding the order of formation of structural elements upon folding of a multi-state protein was used in this study. In this approach the same elements of the protein secondary structure are "tested" by substitutions of single hydrophobic amino acids and by incorporation of cysteine bridges. Single substitutions of hydrophobic amino acids contribute to yielding information on the late stages of protein folding while incorporation of ss-bridges allows obtaining data on the initial stages of folding. As a result of such an μ-analysis, we have determined the order of formation of beta-hairpins upon folding of the green fluorescent protein.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 36%
Student > Ph. D. Student 5 20%
Student > Bachelor 3 12%
Professor 2 8%
Other 1 4%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 44%
Agricultural and Biological Sciences 7 28%
Psychology 1 4%
Physics and Astronomy 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 4 16%