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.

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What is "proRBR"? [Go to application]

proRBR-Manual

1. 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.

2. 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.


3. 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.


4. 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.


5. The Test Run button allows user to check an example (test case) input sequence and the corresponding prediction results.

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