Computational Structural Biology Lab

Source: http://www.csb.iitkgp.ac.in/applications/proRBR/mannual.php Parent: http://www.csb.iitkgp.ac.in/applications/proRBR/index.php

Department of Bioscience and Biotechnology Indian Institute of Technology Kharagpur

proRBR A Protein-RNA Binding Residues Predictor

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proRBR server allows user to predict Protein-RNA Binding Residues (RBRs) and non-Protein-RNA Binding Residues (non-RBRs) for a given protein sequence. The model achieved prediction accuracy of 86% and Area under the curve (AUC) of 0.93.

What is "proRBR"? [Go to application]

proRBR-Manual

Either type or paste the input protein sequence in FASTA format or upload a FASTA file using the Browse button.

Note that the input sequence should be a protein sequence with standard amino acids. The input can be a single line sequence or a single-line description followed by line of sequence.

Click on the submit button to run the prediction. The webserver uses the default RF-NC-triplet model for prediction, once the user submit the query sequence. \
Users can optionally select other prediction models such as RF-NC-quartet, SVMFBF, or KNN developed using quartet nucleotide composition feature and other optimized ML algorithms using the select prediction model button. \
On submitting the query sequence, the output of prediction result is displayed on the screen. Each nucleotide is assigned a prediction annotation (1/0) for protein-binding and non-binding nucleotides along with their raw probability scores. Optionally, user can download the prediction results by clicking on the Download here link. \
The Test Run button allows user to check an example (test case) input sequence and the corresponding prediction results. \