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Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets.

作者信息

Carmona Rosario, Claros M, de Alché Juan

机构信息

Plant Reproductive Biology Laboratory, Department of Biochemistry, Cellular and Molecular Biology of Plants, Estación Experimental del Zaidín (CSIC), Granada, Spain.

Departamento de Biología Molecular y Bioquímica, Universidad de Málaga, Málaga, Spain.

出版信息

Methods Mol Biol. 2018;1747:241-250. doi: 10.1007/978-1-4939-7695-9_19.

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.

摘要

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