Prediction of RNA binding residues: an extensive analysis based on structure and function to select the best predictor.

ABSTRACT: Protein-RNA complexes play key roles in several cellular processes by the interactions of amino acids with RNA. To understand the recognition mechanism, it is important to identify the specific amino acids involved in RNA binding. Various computational methods have been developed for predicting RNA binding residues from protein sequence. However, their performances mainly depend on the training dataset, feature selection for developing a model and learning capacity of the model. Hence, it is important to reveal the correspondence between the performance of methods and properties of RNA-binding proteins (RBPs). In this work, we have collected all available RNA binding residues prediction methods and revealed their performances on unbiased, stringent and diverse datasets for RBPs with less t

SUBMITTER: Nagarajan R 

PROVIDER: S-EPMC3962366 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature