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
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