How to Install and Uninstall disulfinder Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 03,2024

1. Install "disulfinder" package

Please follow the step by step instructions below to install disulfinder on Ubuntu 16.04 LTS (Xenial Xerus)


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

This tutorial shows how to uninstall disulfinder on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                disulfinder
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the disulfinder package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: disulfinder
Priority: extra
Section: universe/science
Installed-Size: 710
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Version: 1.2.11-5
Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), disulfinder-data
Filename: pool/universe/d/disulfinder/disulfinder_1.2.11-5_amd64.deb
Size: 248806
MD5sum: 41fe88debd70b7b8beaefbaf94831640
SHA1: d2ffc9c069c7901e0e6f5cae71d87bc612685805
SHA256: adac07c7910a1bb7c156b0826e2631c21f13eb4d862324dc0e58625e4c2bb161
Description-en: cysteines disulfide bonding state and connectivity predictor
'disulfinder' is for predicting the disulfide bonding state of cysteines
and their disulfide connectivity starting from sequence alone. Disulfide
bridges play a major role in the stabilization of the folding process for
several proteins. Prediction of disulfide bridges from sequence alone is
therefore useful for the study of structural and functional properties
of specific proteins. In addition, knowledge about the disulfide bonding
state of cysteines may help the experimental structure determination
process and may be useful in other genomic annotation tasks.
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'disulfinder' predicts disulfide patterns in two computational stages:
(1) the disulfide bonding state of each cysteine is predicted by a
BRNN-SVM binary classifier; (2) cysteines that are known to participate
in the formation of bridges are paired by a Recursive Neural Network
to obtain a connectivity pattern.
Description-md5: 5f70380c76687c70f279559ee87b7d0e
Homepage: http://disulfind.dsi.unifi.it/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu