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.

Click  here

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