How to Install and Uninstall librdkit-dev Package on Kali Linux

Last updated: November 23,2024

1. Install "librdkit-dev" package

In this section, we are going to explain the necessary steps to install librdkit-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                librdkit-dev
            
                    
    
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2. Uninstall "librdkit-dev" package

Please follow the step by step instructions below to uninstall librdkit-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                librdkit-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the librdkit-dev package on Kali Linux

Package: librdkit-dev
Source: rdkit
Version: 202309.3-2
Installed-Size: 2299
Maintainer: Debichem Team
Architecture: amd64
Depends: librdkit1 (= 202309.3-2)
Size: 409364
SHA256: bcd78889617d0dd4f79428c3989ebad52bd9280b96cbb6016d666c628abcb0e4
SHA1: c2b3bcbf101a8e8873aac48fe1fb12ddfba627fc
MD5sum: bfba589f27bf03a6d0cbf70eafc9c387
Description: Collection of cheminformatics and machine-learning software (development files)
RDKit is a Python/C++ based cheminformatics and machine-learning software
environment. Features Include:
.
* Chemical reaction handling and transforms
* Substructure searching with SMARTS
* Canonical SMILES
* Molecule-molecule alignment
* Large number of molecular descriptors, including topological,
compositional, EState, SlogP/SMR, VSA and Feature-map vectors
* Fragmentation using RECAP rules
* 2D coordinate generation and depiction, including constrained depiction
* 3D coordinate generation using geometry embedding
* UFF and MMFF94 forcefields
* Chirality support, including calculation of (R/S) stereochemistry codes
* 2D pharmacophore searching
* Fingerprinting, including Daylight-like, atom pairs, topological
torsions, Morgan algorithm and MACCS keys
* Calculation of shape similarity
* Multi-molecule maximum common substructure
* Machine-learning via clustering and information theory algorithms
* Gasteiger-Marsili partial charge calculation
.
File formats RDKit supports include MDL Mol, PDB, SDF, TDT, SMILES and RDKit
binary format.
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This package contains the header files.
Description-md5:
Homepage: http://www.rdkit.org
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/r/rdkit/librdkit-dev_202309.3-2_amd64.deb