|
Title
|
|
Analysis of protein chameleon sequence characteristics
|
|
Authors
|
Amine Ghozlane1, Agnel Praveen Joseph1,2, Aurelie Bornot1, Alexandre G. de Brevern1*
| |
|
Affiliation
|
1Equipe de Bioinformatique Génomique et Moléculaire (EBGM), INSERM UMR-S 726, DSIMB, Université Paris Diderot- Paris 7, Institut National de Transfusion Sanguine (INTS), 6, rue Alexandre Cabanel, 75739 Paris cedex 15, France ; 2Molecular Biophysics Unit, Indian Institute of Science Bangalore 560 012, India
| |
|
|
||
|
Article Type
|
Hypothesis | |
|
Date
|
received November 10, 2008; revised January 06, 2009; accepted January
14, 2009; published May 04, 2009 | |
|
Abstract |
Conversion of local structural state of a protein from an α-helix to a β-strand is usually associated with a major change in the tertiary structure. Similar changes were observed during the self assembly of amyloidogenic proteins to form fibrils, which are implicated in severe diseases conditions, e.g., Alzheimer disease. Studies have emphasized that certain protein sequence fragments known as chameleon sequences do not have a strong preference for either helical or the extended conformations. Surprisingly, the information on the local sequence neighborhood can be used to predict their secondary at a high accuracy level. Here we report a large scale-analysis of chameleon sequences to estimate their propensities to be associated with different local structural states such as α -helices, β-strands and coils. With the help of the propensity information derived from the amino acid composition, we underline their complexity, as more than one quarter of them prefer coil state over to the regular secondary structures. About half of them show preference for both α -helix and β-sheet conformations and either of these two states is favored by the rest.
| |
|
Keywords |
chameleon sequence, structural characteristics, secondary structures
| |
|
Citation |
Ghozlane et al, Bioinformation 3(9): 367-369 (2009) | |
|
Edited by |
B. Offmann
| |
|
ISSN |
0973-2063
| |
|
Publisher |
Biomedical Informatics | |
|
License
|
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
|