Result for 005822362042E3B5783C7EB92B24295A8107024D

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/rdkit/ML/Data/cQuantize.i386-linux-gnu.so
FileSize38768
MD5836AAB08364EB4D53C6651E9169D8240
SHA-1005822362042E3B5783C7EB92B24295A8107024D
SHA-2569B2149A2D12AE6FED2E001B2FC20E3CF32CBEB7BB9B9F7420DA5C4BA2906581F
SSDEEP768:pFqEHo0+ZgTAvXCkNGTEPfTRlHCm0+1X9WFFqlHZNqgDfLdrmBMKqhU:pFqEHo0+ZgkXCeGmtzfPHqgG
TLSHT17E030716B940FCB3D98311B8164BCBF58520BBD6C227F6D271CFDB5AE8723958A15322
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
FileSize3011932
MD55B82111ABD583FCAE4E6CA98939137D0
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>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201809.1+dfsg-6
SHA-1161DCA32C476EEC6691992F37F00E66BE09DAB77
SHA-2568489FE72F3F8367D1A49A3FD285B67129A7A17D61E9155E2C56EF8412416656C