Detalle de: Dissection and prediction of RNA-binding sites on proteins
| Title | Dissection and prediction of RNA-binding sites on proteins |
| Abstract |
RNA-binding proteins are involved in many important regulatory processes in cells and their study is essential for a complete understanding of living organisms. They show a large variability from both structural and functional points of view. However, several recent studies performed on protein-RNA crystal structures have revealed interesting common properties. RNA-binding sites usually constitute patches of positively charged or polar residues that make most of the specific and non-specific contacts with RNA. Negatively charged or aliphatic residues are less frequent at protein-RNA interfaces, although they can also be found either forming aliphatic and positive-negative pairs in protein RNA-binding sites or contacting RNA through their main chains. Aromatic residues found within these interfaces are usually involved in specific base recognition at RNA single-strand regions. This specific recognition, in combination with structural complementarity, represents the key source for specificity in protein-RNA association. From all this knowledge, a variety of computational methods for prediction of RNA-binding sites have been developed based either on protein sequence or on protein structure. Some reported methods are really successful in the identification of RNA-binding proteins or the prediction of RNA-binding sites. Given the growing interest in the field, all these studies and prediction methods will undoubtedly contribute to the identification and comprehension of protein-RNA interactions. |
| Apa Reference | Pérez-Cano, L., & Fernández-Recio, J. (2010). Dissection and prediction of RNA-binding sites on proteins. Bmc, 1(5–6), 345–355. 10.1515/bmc.2010.037 |
| Doi | 10.1515/bmc.2010.037 |
| Publication Date | 1 Dec 2010 |
| Publication Type | Article |
| Researcher | Juan Fernández Recio |
| Ontology | Computational Methods |
| Research Groups | Structural Bioinformatics, Modeling and Biological Mechanisms |
| Tools |
