Skip Navigation


Bioinformatics Advance Access originally published online on February 24, 2005
Bioinformatics 2005 21(10):2356-2361; doi:10.1093/bioinformatics/bti351
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
21/10/2356    most recent
bti351v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (1)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Blazewicz, J.
Right arrow Articles by Wojtowicz, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Blazewicz, J.
Right arrow Articles by Wojtowicz, A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

RNA tertiary structure determination: NOE pathways construction by tabu search

Jacek Blazewicz 1,2, Marta Szachniuk 1,* and Adam Wojtowicz 2

1Istitute of Bioorganic Chemistry, Polish Academy of Sciences 61-704 Poznan, Poland
2Institute of Computing Science, Poznan University of Technology 60-965 Poznan, Poland

*To whom correspondence should be addressed.

Motivation: Liquid state nuclear magnetic resonance (NMR) spectroscopy has now been well established as a method for RNA tertiary structure determination. Most of the steps involved in the determination of RNA molecules are performed using computer programs. They however, do not apply to resonance assignment being the starting point of the whole procedure. We propose a tabu search algorithm as a tool for automating this step. Nuclear overhause effect (NOE) pathway, which determines the assignment, is constructed during an analysis of possible connections between resonances within aromatic/anomeric region of two-dimensional NOESY spectrum resulting from appropriate NMR experiment.

Results: Computational tests demonstrate the superior performance of the tabu search algorithm as compared with the exact enumerative approach and genetic procedure applied to the experimental and simulated spectral data for RNA molecules.

Availability: The software package can be obtained upon request from Marta Szachniuk.

Contact: mszachniuk{at}cs.put.poznan.pl


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Brief BioinformHome page
P. Larranaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armananzas, G. Santafe, A. Perez, et al.
Machine learning in bioinformatics
Brief Bioinform, March 1, 2006; 7(1): 86 - 112.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.