Identifying knots in proteins.

Details

Serval ID
serval:BIB_9E0FB0902957
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Identifying knots in proteins.
Journal
Biochemical Society Transactions
Author(s)
Millett K.C., Rawdon E.J., Stasiak A., Sułkowska J.I.
ISSN
1470-8752 (Electronic)
ISSN-L
0300-5127
Publication state
Published
Issued date
2013
Volume
41
Number
2
Pages
533-537
Language
english
Abstract
Polypeptide chains form open knots in many proteins. How these knotted proteins fold and finding the evolutionary advantage provided by these knots are among some of the key questions currently being studied in the protein folding field. The detection and identification of protein knots are substantial challenges. Different methods and many variations of them have been employed, but they can give different results for the same protein. In the present article, we review the various knot identification algorithms and compare their relative strengths when applied to the study of knots in proteins. We show that the statistical approach based on the uniform closure method is advantageous in comparison with other methods used to characterize protein knots.
Keywords
knot, Millett-Dobay-Stasiak (MDS), primitive path, open chain, slipknot
Pubmed
Web of science
Create date
18/04/2013 8:47
Last modification date
20/08/2019 15:04
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