Paketti: librdkit-dev (202409.2-2 ja muut)

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.

Tagit: Software Development: Kirjastot, Role: Development Library

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