Detalle de: Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets
| Title | Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets |
| 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. |
| Apa Reference | Carmona, R., Claros, M. & de Alché, J. (2018). Bioinformatic Prediction of S-Nitrosylation Sites in Large Protein Datasets. Methods in Molecular Biology, 241-250. 10.1007/978-1-4939-7695-9_19 |
| Doi | 10.1007/978-1-4939-7695-9_19 |
| Publication Date | 2018 |
| Publication Type | Book / chapter |
| Ontology | Computational models and simulations |
| Researchers | M. Gonzalo Claros Díaz |
| Research Groups | |
| Tools |
