Pprint2 is an updated version of Pprint developed for predicting RNA interacting residues in a protein. This method is developed on the largest and non-redundant dataset. PSSM profiles were used to train and evaluate the performance. The best accuracy achieved was 82.05% using 1D-CNN based classifier. The major modules provided by the webserver are as follows:
- • Predict: This module allows the prediction of RNA-interacting residues in a protein sequence(s) and highlight the same in the resulting page.
- • Standalone: This module provide the links for downloading the standone from GitHub or from the main website.
- • Download: This module provides the training and validation datasets used in this study.
Please cite following reference if you are using this server
Patiyal et al. (2022) Prediction of RNA-interacting residues in a protein using CNN and evolutionary profile. Briefings in bioinformatics, 23(5) bbac538