Result for 01C42D5991D2A0EAB790D1C8B3C3F5A0D41705EF

Query result

Key Value
FileName./usr/lib/python3/dist-packages/rdkit/ML/InfoTheory/rdInfoTheory.cpython-39-x86_64-linux-gnu.so
FileSize146720
MD50EA49A2DA1F7CD219CCB424BDAEFBAF4
SHA-101C42D5991D2A0EAB790D1C8B3C3F5A0D41705EF
SHA-256ECC51DA0138FAF1A6ED3DF0FB54A3334276E762FF1C6F43A403E106920CEF5B7
SSDEEP3072:+bAEVt9e+dd/hYUEFH7/WYD1gHLNT/oIlTGA3H4r:2fVt9e+dd/hYUEFH7d1sysH4r
TLSHT1A6E3E80B3941ECBBC58AA47882AF83A5A734FDC9C7207BE671C8D7765C02B055F69742
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize3704432
MD50C35E6AB35F950752C8B874F84F335B1
PackageDescriptionCollection 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 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.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython3-rdkit
PackageSectionpython
PackageVersion202009.4-1
SHA-1279B12F899847534BE5C086483F0C8EA981E612E
SHA-2568F495A6913B8228D5BF432EEBDA997E80A0B9C603CF77D060EF353B91EA99C74