Package "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 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.