How to Install and Uninstall librdkit1 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 02,2024

1. Install "librdkit1" package

Please follow the guidelines below to install librdkit1 on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install librdkit1

2. Uninstall "librdkit1" package

This tutorial shows how to uninstall librdkit1 on Ubuntu 16.04 LTS (Xenial Xerus):

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

3. Information about the librdkit1 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: librdkit1
Priority: optional
Section: universe/libs
Installed-Size: 7462
Maintainer: Ubuntu Developers
Original-Maintainer: Debichem Team
Architecture: amd64
Source: rdkit
Version: 201503-3
Depends: libboost-python1.58.0, libboost-regex1.58.0, libboost-system1.58.0, libboost-thread1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libpython2.7 (>= 2.7), libstdc++6 (>= 5.2)
Filename: pool/universe/r/rdkit/librdkit1_201503-3_amd64.deb
Size: 1864178
MD5sum: cd44747eb6d4d7b35dbb6c44d3acf3ea
SHA1: 3ed1e2f588916403c96e92a27d410d96a0e22180
SHA256: e5afdaa1378b6fa8f1d82fa9ed978aa67fa85ccc339de3e36edcb7b601dfab0e
Description-en: 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 alogrithm 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: b8ef84acf40714ac9b42463704f7f70c
Homepage: http://www.rdkit.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu