How to Install and Uninstall concavity Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "concavity" package

This is a short guide on how to install concavity on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                concavity
            
                    
    
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2. Uninstall "concavity" package

Learn how to uninstall concavity on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                concavity
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the concavity package on Ubuntu 20.10 (Groovy Gorilla)

Package: concavity
Architecture: amd64
Version: 0.1+dfsg.1-4build1
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 593
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5)
Suggests: conservation-code, pymol
Filename: pool/universe/c/concavity/concavity_0.1+dfsg.1-4build1_amd64.deb
Size: 297688
MD5sum: ff4594afd52d527a09914f72300b1d4b
SHA1: 496bab4a0512911dba99e91a7b8f4795f04eb113
SHA256: 0a1b20f638b5fd1d49d8e2d69b4d7aabe830ea93ba6dc912da165bccd09f2aa2
SHA512: 8f30ed00edee042c929e650af73c3ddb31312079773b68c27aa2dbc0856407ea14510b6efac4e0a0db5c3fb6f17ec87cdd25ee4908d9b021617272a4a97a7fe5
Homepage: http://compbio.cs.princeton.edu/concavity/
Description-en: predictor of protein ligand binding sites from structure and conservation
ConCavity predicts protein ligand binding sites by combining evolutionary
sequence conservation and 3D structure.
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ConCavity takes as input a PDB format protein structure and optionally
files that characterize the evolutionary sequence conservation of the chains
in the structure file.
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The following result files are produced by default:
* Residue ligand binding predictions for each chain (*.scores).
* Residue ligand binding predictions in a PDB format file (residue
scores placed in the temp. factor field, *_residue.pdb).
* Pocket prediction locations in a DX format file (*.dx).
* PyMOL script to visualize the predictions (*.pml).
Description-md5: 218f0855db86d2d89a15960056332c1e