Introduction

NucBind is a novel method for the prediciton of nucleic acids-binding residues, including DNA and RNA molecules. It combines the predictions from a support vector machine-based ab-initio method SVMnuc and a template-based method COACH-D. SVMnuc was trained with features from three complementary sequence profiles. COACH-D predicts the binding residues based on homologous templates identified from a nucleic acids-binding library.For a submitted query protein sequnce, the returned results include two sets of predicted binding residues, one for DNA-binding and the other for RNA-binding. Read more about the NucBind algorithm...

Submit

Input protein data below: (either structure in PDB format or sequence in FASTA format).   Click for an example PDB input,    Click for an example FASTA input

Or upload the sequence or structure file:

Email: (Optional, where the results will be sent to)

ID: (Optional, your given name to this protein)

Submit Reset

Reference

H. Su, M. Liu, S. Sun, Z. Peng, J. Yang, Improving the prediction of protein-nucleic acids binding residues via multiple sequence profiles and the consensus of complementary algorithms, Bioinformatics, 35: 930-936 (2019).