Liu Lab
at Huazhong University of Science and Technology
Deep-RBPPred: predicting RNA binding proteins in the proteome scale based on deep learning
Deep-RBPPred is a RNA binding proteins(RBP) predictor based on deep learning.
Deep-RBPPred employs only physical-chemistry features. RBP sequences with
fasta formate are submitted to Deep-RBPPred. The output probability score
presents the prediction result with a probability of RBP.
Deep-RBPPred is available.
INSTRUCTION for Deep-RBPPred INSTALLATION and TEST:
download Deep-RBPPred package.
type "tar jxvf Deep-RBPPred.tar.bz2" to uncompress and unpack the package.
type "cd Deep-RBPPred " to change the current directory.
type "make" to compile the programm.
type "python Deep-RBPPred.py uniprot-Ecoli-6130.fasta balance "
Note: python package tensorflow must be installed in the local computer.
If not, please type 'pip install tensorflow ' to install tensorflow.
For more detail, pleas visit https://pip.pypa.io/en/stable/
and https://www.tensorflow.org
CONTACT US:
Any questions about Deep-RBPPred, please email to liushiyong@gmail.com.
Reference:
1. Jinfang Zheng, Xiaoli Zhang, Xunyi Zhao, Xiaoxue Tong, Xu Hong, Juan Xie and Shiyong Liu. Deep-RBPPred: predicting RNA binding proteins in the proteome scale based on deep learning.
scientific reports [PubMed] [PDF]
