How to Install and Uninstall librdkit1 Package on Kali Linux

Last updated: May 10,2024

1. Install "librdkit1" package

Please follow the steps below to install librdkit1 on Kali Linux

$ sudo apt update $ sudo apt install librdkit1

2. Uninstall "librdkit1" package

Please follow the guidelines below to uninstall librdkit1 on Kali Linux:

$ sudo apt remove librdkit1 $ sudo apt autoclean && sudo apt autoremove

3. Information about the librdkit1 package on Kali Linux

Package: librdkit1
Source: rdkit
Version: 202309.3-2
Installed-Size: 21399
Maintainer: Debichem Team
Architecture: amd64
Depends: libboost-iostreams1.83.0 (>= 1.83.0), libboost-python1.83.0 (>= 1.83.0), libboost-python1.83.0-py311, libboost-serialization1.83.0 (>= 1.83.0), libc6 (>= 2.34), libcairo2 (>= 1.4.10), libcoordgen3 (>= 3.0.2), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.4), libmaeparser1 (>= 1.3.1), libpython3.11 (>= 3.11.5), libstdc++6 (>= 13.1)
Size: 4909988
SHA256: 3b8dabee0116b3ba9f3ebeb9f5013e21e504bfa5437c7f0b7b9276597c2a5d2b
SHA1: 17603da30c43f8acd718a2c6b0c79a41033b40c0
MD5sum: d30e4b998d5b8094e4b32d581f9db3c8
Description: Collection of cheminformatics and machine-learning software (shared libraries)
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.
.
This package contains the shared libraries.
Description-md5:
Homepage: http://www.rdkit.org
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/r/rdkit/librdkit1_202309.3-2_amd64.deb