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Title

 

 

 

Protein beta-turn assignments

 

Authors

Aurélie Bornot & Alexandre G. de Brevern*

 

Affiliation

Equipe de Bioinformatique Génomique et Moléculaire (EBGM), INSERM U726, Université Denis DIDEROT - Paris 7, case 7113, 2, place Jussieu, 75251 Paris, France;

 

E-mail*

debrevern@ebgm.jussieu.fr; * Corresponding author

 

Phone

(33) 1 44 27 77 31

 

Fax

(33) 1 43 26 38 30

 

Article Type

Views & Challenges

 

Date

received March 27, 2006; revised May 24, 2006; accepted May 24, 2006; published online June 08, 2006

 

Abstract

A classical way to analyze protein 3D structures or models is to investigate their secondary structures. Their predictions are also widely used as a help to build new 3D models. Thus, hundreds of prediction methods have been proposed. Nonetheless before predicting, secondary structure assignment is required even if not trivial. Therefore numerous but diverging assignment methods have been developed. b-turns constitute the third most important secondary structures. However, no analysis to compare the b-turn distributions according to different secondary structure assignment methods has ever been done. We propose in this paper to analyze and evaluate the results of such a comparison. We highlight some important divergence that could have important consequence for the analysis and prediction of b-turns.

 

Keywords

 

beta turn (b-turn); assignment; secondary structures; prediction

 

Citation

Bornot & de Brevern, Bioinformation 1(5): 153-155 (2006)

 

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.