| Literature DB >> 27787829 |
Rasna R Walia1, Yasser El-Manzalawy2, Vasant G Honavar2, Drena Dobbs3.
Abstract
Identifying individual residues in the interfaces of protein-RNA complexes is important for understanding the molecular determinants of protein-RNA recognition and has many potential applications. Recent technical advances have led to several high-throughput experimental methods for identifying partners in protein-RNA complexes, but determining RNA-binding residues in proteins is still expensive and time-consuming. This chapter focuses on available computational methods for identifying which amino acids in an RNA-binding protein participate directly in contacting RNA. Step-by-step protocols for using three different web-based servers to predict RNA-binding residues are described. In addition, currently available web servers and software tools for predicting RNA-binding sites, as well as databases that contain valuable information about known protein-RNA complexes, RNA-binding motifs in proteins, and protein-binding recognition sites in RNA are provided. We emphasize sequence-based methods that can reliably identify interfacial residues without the requirement for structural information regarding either the RNA-binding protein or its RNA partner.Entities:
Keywords: Binding site prediction; FastRNABindR; Homology-based prediction; Machine learning; PS-PRIP; Protein–RNA interfaces; RNA-binding proteins (RBPs); RNABindRPlus; Ribonucleoprotein particles (RNPs); SNBRFinder
Mesh:
Substances:
Year: 2017 PMID: 27787829 PMCID: PMC5796408 DOI: 10.1007/978-1-4939-6406-2_15
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745