Abstract
S-nitrosylation is an essential and reversible posttranslational modification of proteins involved in numerous biological processes. The experimental determination of S-nitrosylation sites is laborious and time-consuming. Therefore, the use of computational prediction tools of this modification represents a convenient first approach to generate useful information for subsequent experimental verification. Here we describe an in silico analysis pipeline to integrate the use of several bionformatic tools while dealing with big query protein sets.
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Acknowledgments
This work was supported by ERDF-cofunded projects BFU2011-22779, BFU2016-77243-P, RTC-2015-4181-2, and RTC-2016-4824-2 (MINECO), RTA2013-00068-C03-02 (INIA), P2011-CVI-7487 (Junta de Andalucía), and 201540E065 (CSIC). We acknowledge the authors and masters of the cited bioinformatics tools for the availability of the resources.
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Carmona, R., Claros, M., de Alché, J. (2018). Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets. In: Mengel, A., Lindermayr, C. (eds) Nitric Oxide. Methods in Molecular Biology, vol 1747. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7695-9_19
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DOI: https://doi.org/10.1007/978-1-4939-7695-9_19
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