DocumentCode :
3229415
Title :
Techniques for enhancing computation of DNA curvature molecules
Author :
Masotti, Daniel ; Ficarra, Elisa ; Macii, Enrico ; Benini, Luca
Author_Institution :
Politecnico di Torino, Italy
fYear :
2004
fDate :
19-21 May 2004
Firstpage :
22
Lastpage :
29
Abstract :
An automated algorithm is presented to determine the DNA molecule intrinsic curvature profiles and the molecular spatial orientations in atomic force microscope images. The curvature is composed by static and dynamic contributions. The former is the intrinsic curvature, a function of the DNA nucleotide sequence, while the latter is due to thermal fluctuations. This algorithm allows to reconstruct the intrinsic curvature profile excluding the thermal contribution. The automated algorithm reconstructs the intrinsic curvature profile with a mean square error of 3.812· 10-4 rads over a profile with a central peak value of 0.196 rads, and 6.1·10-3 rads over a curvature profile with two symmetric peaks of about 0.08 rads. Moreover, it correctly detects the location of the peaks in the molecules with a deviation of about 1% of molecule length.
Keywords :
DNA; atomic force microscopy; biology computing; medical image processing; molecular biophysics; molecular configurations; DNA curvature molecules; DNA nucleotide sequence; atomic force microscope images; intrinsic curvature profile reconstruction; molecular spatial orientations; thermal fluctuations; Bioinformatics; Biomedical engineering; DNA computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering, 2004. BIBE 2004. Proceedings. Fourth IEEE Symposium on
Print_ISBN :
0-7695-2173-8
Type :
conf
DOI :
10.1109/BIBE.2004.1317321
Filename :
1317321
Link To Document :
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