13C NMR assignments of the bases in oligodeoxynucleotides: an automated procedure using Bayesian statistics.
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.
Hyman
T J
TJ
NIH Research Resource for NMR and Data Processing, Syracuse University, New York 13244-1200.
Boudreau
E A
EA
Martin
G G
GG
Jucker
B M
BM
Borer
P N
PN
Levy
G C
GC
D001483:Base Sequence; D001499:Bayes Theorem; D002247:Carbon Isotopes; D009682:Magnetic Resonance Spectroscopy; D009838:Oligodeoxyribonucleotides; D011336:Probability; D012985:Software Design
D002247:Carbon Isotopes; D009838:Oligodeoxyribonucleotides