Article (Scientific journals)
Two-intermediate model to characterize the structure of fast-folding proteins
Roterman, I.; Konieczny, L.; Jurkowski, Wiktor et al.
2011In Journal of Theoretical Biology, 283 (1), p. 60-70
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Abstract :
[en] This paper introduces a new model that enables researchers to conduct protein folding simulations. A two-step in silico process is used in the course of structural analysis of a set of fast-folding proteins. The model assumes an early stage (ES) that depends solely on the backbone conformation, as described by its geometrical properties--specifically, by the V-angle between two sequential peptide bond planes (which determines the radius of curvature, also called R-radius, according to a second-degree polynomial form). The agreement between the structure under consideration and the assumed model is measured in terms of the magnitude of dispersion of both parameters with respect to idealized values. The second step, called late-stage folding (LS), is based on the "fuzzy oil drop" model, which involves an external hydrophobic force field described by a three-dimensional Gauss function. The degree of conformance between the structure under consideration and its idealized model is expressed quantitatively by means of the Kullback-Leibler entropy, which is a measure of disparity between the observed and expected hydrophobicity distributions. A set of proteins, representative of the fast-folding group
Disciplines :
Biochemistry, biophysics & molecular biology
Identifiers :
UNILU:UL-ARTICLE-2012-580
Author, co-author :
Roterman, I.
Konieczny, L.
Jurkowski, Wiktor ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Prymula, K.
Banach, M.
External co-authors :
yes
Language :
English
Title :
Two-intermediate model to characterize the structure of fast-folding proteins
Publication date :
2011
Journal title :
Journal of Theoretical Biology
ISSN :
1095-8541
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
283
Issue :
1
Pages :
60-70
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 08 April 2016

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