rdkit 201603.5-2 source package in Ubuntu

Changelog

rdkit (201603.5-2) unstable; urgency=medium

  * Team upload.
  * debian/control (Build-Depends): Added pandoc and 
    texlive-generic-extra. (Closes: #831264)
  * debian/rules (override_dh_auto_configure): Added
    -DRDK_OPTIMIZE_NATIVE=OFF to prevent FTBFS on ppc64el.

 -- Graham Inggs <email address hidden>  Mon, 07 Nov 2016 14:50:50 +0200

Upload details

Uploaded by:
Debichem Team on 2016-11-07
Uploaded to:
Sid
Original maintainer:
Debichem Team
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2017-10-24 universe science
Artful release on 2017-04-20 universe science
Zesty release on 2016-12-13 universe science

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File Size SHA-256 Checksum
rdkit_201603.5-2.dsc 2.4 KiB d67a5bc6df24a8e894dcfd4d57b10027024d23425a625ffd78ac0b3c458e60df
rdkit_201603.5.orig.tar.gz 25.1 MiB a6b33c297626b9db492e044a77c493ecebdecca168bda0ce926b92b64b8992d7
rdkit_201603.5-2.debian.tar.xz 7.9 KiB b96d0c7e1dd152a6f480242d34672207c3fa0df6b5cd3f37048d379813e60d41

No changes file available.

Binary packages built by this source

librdkit-dev: 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 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 header files.

librdkit1: 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.

librdkit1-dbgsym: debug symbols for package librdkit1

 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.

python-rdkit: Collection of cheminformatics and machine-learning software

 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.

rdkit-data: Collection of cheminformatics and machine-learning software (data files)

 RDKit is a Python/C++ based cheminformatics and machine-learning software
 environment.
 .
 This package contains data files.

rdkit-doc: Collection of cheminformatics and machine-learning software (documentation)

 RDKit is a Python/C++ based cheminformatics and machine-learning software
 environment.
 .
 This package contains the documentation.