Abstract
While nonribosomal peptides (NRPs) are of tremendous pharmacological importance, there is currently no technology capable of high-throughput sequencing of NRPs. Difficulties in sequencing NRPs slow down the progress in elucidating the non-ribosomal genetic code and negatively affect various screening programs aimed at the discovery of natural compounds of medical importance. We propose to employ multi-stage mass-spectrometry (MSn) for the data acquisition, followed by alignment-based heuristic algorithms for data analysis. Since mass spectrometry based analysis of NRPs is fast and inexpensive, this approach opens the possibility of high-throughput sequencing of many unknown NRPs accumulated in large screening programs.
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Bandeira, N., Ng, J., Meluzzi, D., Linington, R.G., Dorrestein, P., Pevzner, P.A. (2008). De Novo Sequencing of Nonribosomal Peptides. In: Vingron, M., Wong, L. (eds) Research in Computational Molecular Biology. RECOMB 2008. Lecture Notes in Computer Science(), vol 4955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78839-3_16
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DOI: https://doi.org/10.1007/978-3-540-78839-3_16
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