Structure and function based selection of best predictors for identifying the binding sites in RNA binding proteins
In this work, We evaluated the performance of 6 different RNA binding residues prediction methods with unbiased, stringent and diverse datasets for RNA binding proteins based on various aspects: (i) 8 structural classes, (ii) 90 folds, (iii) 100 superfamilies, (iv) 126 families, (v) single strand/double helical RNA, (vi) RNA conformation, (vii) RNA type and (viii) three functions. Further, the best performances of different methods in different datasets have been revealed. The information gained in this work would be helpful as well as necessary for biologists to choose the best method for designing experiments.
Please select a protein/RNA information from the provided options to identify the best predictor
Choose:
--select--
Class
Fold
Superfamily
Family
RNA Strand
RNA Conformation
RNA Type
Enzyme
Regulatory Proteins
Structural Proteins
To access the details of methods used in this work click
here
To access the benchmarking datasets click
here
Reference: RNA binding residues prediction: An extensive analysis based on structure and function to select the best predictor
Nagarajan, R. and Gromiha, M. M.
PLoS One (submitted)
Comments and Feedbacks to : gromiha@iitm.ac.in.
