Molecular Networking
uma importante ferramenta computacional para o processo de identificação metabólica a partir de dados de Espectrometria de Massas de alta resolução
Keywords:
Ferramenta Computacional, Alta Resolução, Espectometria de Massas, Identificação MetabólicaAbstract
Metabolite characterization through High Resolution Mass Spectrometry has been widely used nowadays. This technique uses the fragmentation profile of some ion to identify it, however, the identification process to mass fragmentation spectra needs to be compared to the literature and database specific for mass spectrometry, prolonging the time required to identify substances. Molecular Networking is a computational tool, which makes possible to compare many mass fragmentation spectra among them and to databases simultaneously, reducing the time for analysing of the mass fragmentation spectra and speeding up the metabolites identification process.
References
Bhardwaj, C.; Hanley, L. (2014) Ion sources for mass spectrometric identification and imaging of molecular species, Natural Product Reports, vol. 31, num. 6, p. 756-767.
Bouslimani, A. et al. (2014) Mass spectrometry of natural products: current, emerging and future technologies, Natural Product Reports, vol. 31, num. 6, p. 718-729.
Capriotti, A. L. et al. (2012) Multiclass mycotoxin analysis in food, environmental and biological matrices with chromatography/mass spectrometry. Mass spectrometry reviews, vol. 31, num. 4, p. 466-503.
El-Elimat, T. et al. (2013) High-resolution MS, MS/MS, and UV database of fungal secondary metabolites as a dereplication protocol for bioactive natural products. Journal of Natural Products, vol. 76, num. 9, p. 1709–1716.
Ernst, M. et al. (2014) Mass spectrometry in plant metabolomics strategies: from analytical platforms to data acquisition and processing. Natural Product Reports, vol. 31, num. 6, p. 784-806.
Horai, H. et al. (2010) MassBank: a public repository for sharing mass spectral data for life sciences. Journal of Mass Spectrometry, vol. 45, num. 7, p. 703–714.
Jarmusch, A. K.; Cooks, R. G. (2014) Emerging capabilities of mass spectrometry for natural products. Natural Product Reports, vol. 31, num. 6, p. 730-738.
Lei, Z.; Huhman, D. V.; Sumner, L. W. (2011) Mass spectrometry strategies in metabolomics. Journal of Biological Chemistry, vol. 286, num. 29, p. 25435-25442.
Nguyen, D. D. et al. (2013) MS/MS networking guided analysis of molecule and gene cluster families. Proceedings of the National Academy of Sciences, vol. 110, num. 28, p. E2611-E2620.
Nielsen, K. F. et al. (2011) Dereplication of microbial natural products by LC-DAD-TOFMS. Journal of Natural Products, vol. 74, num. 11, p. 2338–2348.
Saito, K.; Matsuda, F. (2010) Metabolomics for functional genomics, systems biology, and biotechnology. Annual review of plant biology, vol. 61, p. 463-489.
Smith, C. A. et al. (2005) METLIN: a metabolite mass spectral database. Therapeutic Drug Monitoring, vol. 27, num. 6, p. 747–751.
Watrous, J. et al. (2012) From the Cover: PNAS Plus: Mass spectral molecular networking of living microbial colonies. Proceedings of the National Academy of Sciences, vol. 109, num. 26, p. E1743–E1752.
Wishart, D. S. et al. (2013) HMDB 3.0--The Human Metabolome Database in 2013. Nucleic Acids Research, vol. 41, num. D1, p. D801–D807.
Yang, J. Y. et al. (2013) Molecular networking as a dereplication strategy. Journal of Natural Products, vol. 76, num. 9, p. 1686–1699.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Os autores mantêm os direitos autorais sobre os trabalhos publicados nesta revista, concedendo à SETIF o direito de primeira publicação. O conteúdo está licenciado sob uma Licença Creative Commons Atribuição-CompartilhaIgual 4.0 Internacional (CC BY-SA 4.0), que permite copiar, redistribuir, remixar, transformar e criar a partir do material para qualquer finalidade, inclusive comercial, desde que seja atribuída a autoria e feita referência à publicação original nesta revista.
Os autores concordam que qualquer reutilização de seu trabalho por terceiros deve incluir o nome dos autores, o título do artigo, o nome da revista, o DOI (quando disponível) e o link para a licença.
É permitido e incentivado que os autores disponibilizem a versão publicada do trabalho em repositórios institucionais, sites pessoais ou redes acadêmicas imediatamente após a publicação, com menção à publicação inicial nesta revista.