Result for 03B2FE05D01B17BA528486515A797357280BBFDA

Query result

Key Value
FileName./usr/lib/python3/dist-packages/rdkit/Chem/rdShapeHelpers.cpython-39-powerpc64le-linux-gnu.so
FileSize200304
MD5A2AEB0B0CE8DAFFE4F23B06BA65DE4B1
SHA-103B2FE05D01B17BA528486515A797357280BBFDA
SHA-256F4E128D75B2BCF02948A85352206FE37AFF57B6D5C1A3AF97348140A5E1F0F98
SSDEEP3072:KRRdk86i02CDVX/4tRZSqbsozldTMp79uea6AXL32dL832VaJWI6ARvcjs9NmVZd:Mk8xSun2VaJWI6ARvcjs9NmVZe2
TLSHT1D4140827754CBFC3CF42643F534EA3216265BDCA06616643BA68430FDF4A70A8E6674B
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
FileSize3769640
MD5807A0AE8B46A1ECB357C41BEE59F4702
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
PackageVersion202009.5-2
SHA-1026239E52F418C5E2DBE9604CB1AD84F892688C8
SHA-256BC190F870F283779EF0E24BFB3F73A0C6951B8EB3E214C66B2A54829AE139BCE