title: Analysis of DNA curvature using artificial neural networks.
abstract: 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
authors.affiliation: Chemical Engineering Division, National Chemical Laboratory, Pune, India.
authors.forename: R V
authors.initials: RV
authors.lastname: Parbhane
authors.forename: S S
authors.initials: SS
authors.lastname: Tambe
authors.forename: B D
authors.initials: BD
authors.lastname: Kulkarni
mesh_terms: D001483:Base Sequence; D019295:Computational Biology; D003198:Computer Simulation; D004247:DNA / Q000737:chemistry*; D016571:Neural Networks, Computer; D009690:Nucleic Acid Conformation
chemical_list: D004247:DNA