Metadata-Version: 2.1
Name: deepcon
Version: 0.0.2
Summary: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout
Home-page: https://github.com/Chaserich1/deepconpkg
Author: Badri Adhikari
Author-email: adhikarib@umsl.edu
License: UNKNOWN
Description: ## DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout  
        
        
        #### Contact:
        Email: adhikarib@umsl.edu  
        Homepage: https://badriadhikari.github.io/  
        Paper: https://www.biorxiv.org/content/10.1101/590455v1 
        
        ### 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.
        
        
        #### Installation Instructions:
            
        
        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:
        
        Inside Python:
        
        	import deepcon
        	
        
        #### Predict
        ```bash
        python ../deepcon-covariance.py --aln ./16pkA0.aln --rr ./16pkA0.rr
        ```
        
        #### Evaluate
        ```bash
        ./coneva-lite.pl -pdb ./16pkA.pdb -rr ./16pkA0.rr
        ```
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
