Name
Abstract | ||
|---|---|---|
An automated algorithm is presented to determine theDNA molecule intrinsic curvature profiles and the molecularspatial orientations in Atomic Force Microscope images.The curvature is composed by static and dynamiccontributions.The former is the intrinsic curvature, afunction of the DNA nucleotide sequence, while the latteris due to thermal fluctuations.This algorithm allows toreconstruct the intrinsic curvature profile excluding thethermal contribution.The automated algorithm reconstructsthe intrinsic curvature profile with a mean squareerror of 3.8122 · 10{-4} rads over a profile with a centralpeak value of 0.196 rads, and 6.1 · 10{-3} rads over a curvatureprofile with two symmetric peaks of about 0.08 rads.Moreover, it correctly detects the location of the peaks inthe molecules with a deviation of about 1% of moleculelength. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/BIBE.2004.1317321 | BIBE |
Keywords | Field | DocType |
molecularspatial orientation,centralpeak value,atomic force microscope image,mean squareerror,automated algorithm,intrinsic curvature,intrinsic curvature profile,dna nucleotide sequence,enhancing computation,algorithm reconstructsthe intrinsic curvature,dna curvature molecules,peaks inthe molecule,nucleotide sequence,biomedical engineering,bioinformatics,dna computing,atomic force microscope,spatial orientation,atomic force microscopy,molecular biophysics,thermal fluctuations,dna | Molecular physics,Curvature,Thermal,Atomic force microscopy,Molecule,Computer science,Mean squared error,Artificial intelligence,Molecular biophysics,Thermal fluctuations,Machine learning,Computation | Conference |
ISBN | Citations | PageRank |
0-7695-2173-8 | 1 | 0.39 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Masotti | 1 | 27 | 3.86 |
| Elisa Ficarra | 2 | 122 | 22.25 |
| Enrico Macii | 3 | 2405 | 349.96 |
| Luca Benini | 4 | 13116 | 1188.49 |