Conclusion and Remarks
We prepared a database, KNApSAcK for accumulation and search of metabolite-species relationships. The power-law distribution observed in the present study is likely to be associated with research activity for finding novel metabolites from nature. In addition, it seems to be derived from searching rare metabolites from the organisms originally exhibiting power-law in the degree distribution of their metabolic networks. This suggests that the database contains chemical diversity of metabolites which occurred through evolution of species. Graph clustering is shown to be useful to extract taxonomic relationships on the basis of common metabolites. As we are continuously accumulating metabolite-species pairs in the database, we continue to advance our understanding of species-metabolite relations in taxonomic hierarchy. Furthermore, we plan to add an option for searching metabolite structures by entering partial structures, which will be helpful for metabolite research.
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Shinbo, Y. et al. (2006). KNApSAcK: A Comprehensive Species-Metabolite Relationship Database. In: Saito, K., Dixon, R.A., Willmitzer, L. (eds) Plant Metabolomics. Biotechnology in Agriculture and Forestry, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29782-0_13
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DOI: https://doi.org/10.1007/3-540-29782-0_13
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