RNA-binding proteins (RBPs) are involved in many biological processes, their binding sites on RNAs can give insights into mechanisms behind diseases involving RBPs.

Reference

Xiaoyong Pan, Yi Fang, and et al.,
RBPsuite 2.0: an updated RNA-protein binding site prediction suite with high coverage on species and proteins based on deep learning
In submission. [View article]


Hehe Wu, Xiaoyong Pan*, Yang Yang, and Hong-Bin Shen*
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network.
Briefings in Bioinformatics, 2021, 22: bbab279. [View article]


Xiaoyong Pan, Yi Fang, XianFeng Li, Yang Yang, and Hong-Bin Shen
RBPsuite: RNA-protein binding sites prediction suite based on deep learning.
BMC Genomics, 2020, 21:884. [View article]


Kaiming Zhang#, Xiaoyong Pan#, Yang Yang, and Hong-Bin Shen
CRIP: predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks.
RNA, 2019, 25(12):1604-1615. [View article]


Xiaoyong Pan, Peter Rijnbeek, Junchi Yan and Hong-Bin Shen
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.
BMC Genomics, 2018, 19: 511. [View article]


Xiaoyong Pan and Hong-Bin Shen
Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks.
Bioinformatics, 2018, 34: 3427-3436. [View article]