Result for 02F296D0863194C9A62D787ED57B1788022B6FED

Query result

Key Value
FileName./usr/lib/python3/dist-packages/rdkit/Chem/rdqueries.cpython-39-arm-linux-gnueabihf.so
FileSize231808
MD56DA23481E702F49022690FBA312A35C3
SHA-102F296D0863194C9A62D787ED57B1788022B6FED
SHA-256DFE79C840B43F70AE4C90B09F2F077B46789FC0E9B17397B7F193FB91F70D6CE
SSDEEP6144:kVRFKsYM+j4UysuK1pgsla09O/cIq1whdkAVRofay+Ud7LPWbq:kjFYM+jJ8Epgsla09Oe12dkY2aylfPWO
TLSHT170342B6625C3FD93CCDB2BF9245F97F9ECA2BDE19BD321D8A0C8C1249D51A491438782
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
FileSize3340280
MD59767B7B0B4F853ABE37F8A731166AF42
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-1109E05AE6738982B797B011B557D084D09549EB2
SHA-256D86870C03FECE877F406A8126A5821B68405DDC5FBC6F1DF057148409E16C998