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        "description": "## DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout  \n\n\n#### Contact:\nEmail: adhikarib@umsl.edu  \nHomepage: https://badriadhikari.github.io/  \nPaper: https://www.biorxiv.org/content/10.1101/590455v1 \n\n### DEEPCON using Covariance features as input\n\nTrained and validated using the 3456 proteins in the DeepCov dataset with the covariance features (441 channels) as input.\n\n\n#### Installation Instructions:\n\n\nYou need a deep learing backend that is Keras compatible:\n\n    pip3 install -U tensorflow\n    pip3 install pyyaml\n\nInstall DEEPCON-Covariance package\n\n    pip3 install deepcon\n\n\n#### Intstructions for User:\n\nInside Python:\n\n\timport deepcon\n\n\n#### Predict\n```bash\npython ../deepcon-covariance.py --aln ./16pkA0.aln --rr ./16pkA0.rr\n```\n\n#### Evaluate\n```bash\n./coneva-lite.pl -pdb ./16pkA.pdb -rr ./16pkA0.rr\n```\n\n\n\n",
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