Computational Structural Biology Lab

Department of Biotechnology
Indian Institute of Technology Kharagpur

• Manual

• proRBR dataset

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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Please submit the following: Items labelled (*) are mandatory

Paste query amino acid sequence * (FASTA format only)

Note: Please submit only one sequence at a time.

OR

Upload query sequence file* (FASTA format only)

Please select the model:

Choose a model: BRF DIPEPTIDE-RF SASA-RF Default it takes (*) Balanced Random Forest (BRF)
Choose a threshold cut-off with BRF model: 0.5 0.6 0.65 0.7 0.72 0.73 Default it takes (*) 0.6

Test Run:

To test run the prediction server please click the "Test Run " button

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