How to Install and Uninstall librdkit-dev Package on Ubuntu 21.04 (Hirsute Hippo)
Last updated: December 24,2024
1. Install "librdkit-dev" package
Please follow the guidelines below to install librdkit-dev on Ubuntu 21.04 (Hirsute Hippo)
$
sudo apt update
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$
sudo apt install
librdkit-dev
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2. Uninstall "librdkit-dev" package
Please follow the instructions below to uninstall librdkit-dev on Ubuntu 21.04 (Hirsute Hippo):
$
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 Ubuntu 21.04 (Hirsute Hippo)
Package: librdkit-dev
Architecture: amd64
Version: 202009.4-1
Priority: optional
Section: universe/libdevel
Source: rdkit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debichem Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2072
Depends: librdkit1 (= 202009.4-1)
Filename: pool/universe/r/rdkit/librdkit-dev_202009.4-1_amd64.deb
Size: 267568
MD5sum: f79de2e876d9965e859e065d36a2f771
SHA1: 1747af57c4e1d77b6303c3e511aa0a97db588de8
SHA256: 53ee74ceeeef50ac555b68125cb6b21dbcbc018f2549f80baa8b950a9e38e41b
SHA512: f2d0bbc56a9b1cc787b9ddc88f529c0d85f61563befc65eb094aee3697e1e9647e0164b3362e24cacac63d07b53fec1687f9d380093045a81466409b5029765b
Homepage: http://www.rdkit.org
Description-en: 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.
.
This package contains the header files.
Description-md5: cadf4e2d9818548292d31eade9e00bca
Architecture: amd64
Version: 202009.4-1
Priority: optional
Section: universe/libdevel
Source: rdkit
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debichem Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2072
Depends: librdkit1 (= 202009.4-1)
Filename: pool/universe/r/rdkit/librdkit-dev_202009.4-1_amd64.deb
Size: 267568
MD5sum: f79de2e876d9965e859e065d36a2f771
SHA1: 1747af57c4e1d77b6303c3e511aa0a97db588de8
SHA256: 53ee74ceeeef50ac555b68125cb6b21dbcbc018f2549f80baa8b950a9e38e41b
SHA512: f2d0bbc56a9b1cc787b9ddc88f529c0d85f61563befc65eb094aee3697e1e9647e0164b3362e24cacac63d07b53fec1687f9d380093045a81466409b5029765b
Homepage: http://www.rdkit.org
Description-en: 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.
.
This package contains the header files.
Description-md5: cadf4e2d9818548292d31eade9e00bca