13C NMR assignments of the bases in oligodeoxynucleotides: an automated procedure using Bayesian statistics.

Abstract

A statistical method, Bayes Maximum Likelihood, has been applied to the classification of base 13C NMR resonances in DNA oligomers. An accuracy of 100% for carbon class discrimination was achieved for a preliminary training set of four oligomers using the following four parameters: (1) the chemical shift; (2) the temperature at which the spectrum was obtained; (3) the difference in chemical shift from the C5 resonances; and (4) a sequence factor representing the neighboring nucleotides. Classification of a fifth oligomer, previously assigned and not contained in the original training set, gave reasonable carbon class assignments.

Cite this paper

@article{Hyman198813CNA, title={13C NMR assignments of the bases in oligodeoxynucleotides: an automated procedure using Bayesian statistics.}, author={Timothy J. Hyman and Eilis A. Boudreau and Gilles G. Martin and Beat M. Jucker and Philip N. Borer and George C. Levy}, journal={Journal of chemical information and computer sciences}, year={1988}, volume={28 4}, pages={226-30} }