How to Install and Uninstall disulfinder Package on Kali Linux

Last updated: November 26,2024

1. Install "disulfinder" package

This guide let you learn how to install disulfinder on Kali Linux


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

This guide covers the steps necessary to uninstall disulfinder on Kali Linux:


    
        
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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 Kali Linux

Package: disulfinder
Version: 1.2.11-12
Installed-Size: 676
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.0), libstdc++6 (>= 11), disulfinder-data
Size: 238868
SHA256: 45c84f2b17c5aa730fca68a6a4ae76748dfafe860f1633665f698be981c42f11
SHA1: 51c5af499da454d2d1800a0585647e821ad65a3f
MD5sum: aaed1badc22cda8aff622c76982e08e0
Description: 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:
Homepage: https://disulfind.dsi.unifi.it/
Tag: role::program
Section: science
Priority: optional
Filename: pool/main/d/disulfinder/disulfinder_1.2.11-12_amd64.deb