Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure
Abstract Background RNA binding proteins (RBPs) play a vital role in post-transcriptional processes in all eukaryotes, such as splicing regulation, mRNA transport, and modulation of mRNA translation and decay. The identification of RBP binding sites is a crucial step in understanding the biological...
Main Authors: | Lei Deng, Youzhi Liu, Yechuan Shi, Wenhao Zhang, Chun Yang, Hui Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-12-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12864-020-07239-w |
Similar Items
-
Computational Prediction of RNA-Binding Proteins and Binding Sites
by: Jingna Si, et al.
Published: (2015-11-01) -
Data of protein-RNA binding sites
by: Wook Lee, et al.
Published: (2017-02-01) -
PUResNet: prediction of protein-ligand binding sites using deep residual neural network
by: Jeevan Kandel, et al.
Published: (2021-09-01) -
A Review About RNA–Protein-Binding Sites Prediction Based on Deep Learning
by: Jianrong Yan, et al.
Published: (2020-01-01) -
RBinds: A user-friendly server for RNA binding site prediction
by: Huiwen Wang, et al.
Published: (2020-01-01)