13C Nmr Assignments of the Bases in Oligodeoxynucleotides: An Automated Procedure Using Bayesian Statistics

Timothy J. Hyman, Eilis A. Boudreau, Béat M. Jucker, Philip N. Borer, George C. Levy, Gilles G. Martin

Research output: Contribution to journalArticle

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)226-230
Number of pages5
JournalJournal of Chemical Information and Computer Sciences
Volume28
Issue number4
DOIs
StatePublished - Nov 1 1988

ASJC Scopus subject areas

  • Chemistry(all)
  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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