Analysis of DNA curvature using artificial neural networks.
BACKGROUND
Our aim is to utilize an artificial neural network (ANN) for the prediction of DNA curvature in terms of retardation anomaly.


RESULTS
An ANN capturing the role of phasing, increased helix flexibility, run of poly(A) tracts and flanking base pair effects in determining the extent of DNA curvature has been developed. The network predictions validate the known experimental results and also explain how the base pairs other than ApA affect the curvature. The results suggest that ANN can be used as a model-free tool for studying DNA curvature.


BACKGROUND
The optimal weights and the procedure to compute the retardation anomaly value are available on request from the authors.


BACKGROUND
bdk@ems. ncl.res.in
Parbhane
R V
RV
Chemical Engineering Division, National Chemical Laboratory, Pune, India.
Tambe
S S
SS
Kulkarni
B D
BD
D001483:Base Sequence; D019295:Computational Biology; D003198:Computer Simulation; D004247:DNA / Q000737:chemistry*; D016571:Neural Networks, Computer; D009690:Nucleic Acid Conformation
D004247:DNA