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RBind: computational network method to predict RNA binding sites


Non-coding RNA molecules play essential roles by interacting with other molecules to perform various biological functions. However, it is difficult to determine RNA structures due to their flexibility. At present, the number of experimentally solved RNA-ligand and RNA-protein structures is still insufficient. Therefore, binding sites prediction of non-coding RNA is required to understand their functions. Current RNA binding site prediction algorithms produce many false positive nucleotides that are distance away from the binding sites. Here, we present a network approach, RBind, to predict the RNA binding sites with improved and reasonable accuracy in a large-scale dataset testing.


Please cite: Kaili Wang, Yiren Jian, Huiwen Wang, Chen Zeng and Yunjie Zhao*, RBind: computational network method to pre- dict RNA binding sites, Bioinformatics, 2018. (accepted)


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