Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout
DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout
DEEPCON using Covariance features as input
Trained and validated using the 3456 proteins in the DeepCov dataset with the covariance features (441 channels) as input.
You need a deep learing backend that is Keras compatible:
pip3 install -U tensorflow pip3 install pyyaml
Install DEEPCON-Covariance package
pip3 install deepcon
Intstructions for User:
python ../deepcon-covariance.py --aln ./16pkA0.aln --rr ./16pkA0.rr
./coneva-lite.pl -pdb ./16pkA.pdb -rr ./16pkA0.rr
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for deepconpkg-0.0.3-py3-none-any.whl