Stable isotope labeling strategy based on coding theory

Takuma Kasai, Seizo Koshiba, Jun Yokoyama, Takanori Kigawa

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


We describe a strategy for stable isotope-aided protein nuclear magnetic resonance (NMR) analysis, called stable isotope encoding. The basic idea of this strategy is that amino-acid selective labeling can be considered as "encoding and decoding" processes, in which the information of amino acid type is encoded by the stable isotope labeling ratio of the corresponding residue and it is decoded by analyzing NMR spectra. According to the idea, the strategy can diminish the required number of labelled samples by increasing information content per sample, enabling discrimination of 19 kinds of non-proline amino acids with only three labeled samples. The idea also enables this strategy to combine with information technologies, such as error detection by check digit, to improve the robustness of analyses with low quality data. Stable isotope encoding will facilitate NMR analyses of proteins under non-ideal conditions, such as those in large complex systems, with low-solubility, and in living cells.

Original languageEnglish
Pages (from-to)213-221
Number of pages9
JournalJournal of biomolecular NMR
Issue number2
Publication statusPublished - 2015 Oct 1


  • Amino-acid selective stable isotope labeling
  • Cell-free protein synthesis
  • Coding theory
  • Combinatorial selective labeling
  • Signal assignment

ASJC Scopus subject areas

  • Biochemistry
  • Spectroscopy


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