Result for 035F1CD62EB240AF8BF266ABB6428001F9C0F9AE

Query result

Key Value
FileName./usr/lib/python3/dist-packages/rdkit/Chem/rdSLNParse.cpython-39-x86_64-linux-gnu.so
FileSize51656
MD5E8889068A9CC41A46C8BF322B20E9E44
SHA-1035F1CD62EB240AF8BF266ABB6428001F9C0F9AE
SHA-2565C6B0313B90C79B2A65FF23AF0B6A49FF0C26DAF4253D78D63A962930A58CF21
SSDEEP1536:nQ140YtpSqqJzuCPV6+dQnFQKVQT6eti:jpSqqXV6+d+QKVQj
TLSHT1E6331807A0A2DCFFC4C595B8928BA363D4717CE48A30355B7B88D7394D52F786A3AB41
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize3636944
MD5FA3DFB4A0DCCE17069D23A1388B06546
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-rdkit
PackageSectionpython
PackageVersion202009.4-1
SHA-189D799CCB610900AEBD7B0B4981F61452551582E
SHA-2560359A499C632851B7ECAADCDBD59D3C6F4D756A044C7E7355DCA3B6DF067D1D8