Пакет: librdkit1 (201809.1+dfsg-6)

[ Източник: rdkit  ]

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.

Етикети: Role: Shared Library

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• dep: libboost-serialization1.67.0

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• dep: libgcc1 (>= 1:3.5)

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• dep: libpython2.7 (>= 2.7)

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• dep: libschroedinger-coordgenlibs1

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• dep: libschroedinger-maeparser1

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• dep: libstdc++6 (>= 7)

  GNU Standard C++ Library v3

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