2010, Saito and Matsuda 2010, Tohge and Fernie 2010), and it will be an important topic in the systems-biological studies of interactions between plants and humans, with the goal of achieving a holistic understanding of plant function and healthcare, including the activity of medicinal plants as well as interactions between plants and their environments ( Verpoorte et al. The metabolomics of plants is developing rapidly ( Bino et al. ![]() In the future, the study of metabolomics will need to take this huge number of metabolites into consideration. Current statistics of the binary relationships between individual databases were characterized by the degree distribution analysis, leading to a prediction of at least 1,060,000 metabolites within all plants. The Biological Activity DB consists of 2,418 biological activities and 33,706 pairwise relationships between medicinal plants and their biological activities. The KAMPO DB consists of 336 formulae encompassing 278 medicinal plants the JAMU DB consists of 5,310 formulae encompassing 550 medicinal plants. KNApSAcK WorldMap DB comprises 41,548 GZ–plant pair entries, including 222 GZs and 15,240 medicinal/edible plants. All databases can be accessed via the website. These data are connected to the species–metabolites relationship DB within the KNApSAcK Core DB, keyed via the species names. In our multifaceted plant usage DB, medicinal/edible plants are related to the geographic zones (GZs) where the plants are used, their biological activities, and formulae of Japanese and Indonesian traditional medicines (Kampo and Jamu, respectively). We also have developed databases for retrieving metabolites related to plants used for a range of purposes. We also developed a search engine within the KNApSAcK Core DB for use in metabolomics research, making it possible to search for metabolites based on an accurate mass, molecular formula, metabolite name or mass spectra in several ionization modes. We constructed an extensive species–metabolite DB for plants, the KNApSAcK Core DB, which contains 101,500 species–metabolite relationships encompassing 20,741 species and 50,048 metabolites. ![]() ![]() A database (DB) describing the relationships between species and their metabolites would be useful for metabolomics research, because it targets systematic analysis of enormous numbers of organic compounds with known or unknown structures in metabolomics.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |