/Deep_Learning_DeePR

DeePR - Prediction of Tetratricopeptide repeats using Convolutional Neural Networks

Primary LanguagePython

DeePR

A convolutional neural network (CNN) for the prediction of Tetratricopeptide reapeats (TPR) in amino acid sequences.

Built With

Network architecture

The architecture of DeePR consists of multiple convolutional layers with different properties (filters etc.), dropout layers, pooling layers and one final fully connected layer.

Data

The network was trained on multiple hundred thousand sequences both TPR sequences and non-TPR sequences.

Contact

For more information on datasets and/or implementation feel free to contact me via mail.