13C NMR assignments of the bases in oligodeoxynucleotides: an automated procedure using Bayesian statistics |
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Authors: | T J Hyman E A Boudreau G G Martin B M Jucker P N Borer G C Levy |
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Institution: | NIH Research Resource for NMR and Data Processing, Syracuse University, New York 13244-1200. |
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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. |
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