Result for 027AD133B6637BCC235F30F57FF5A691BF2F7892

Query result

Key Value
FileName./usr/lib/python3/dist-packages/rdkit/ML/Cluster/Clustering.cpython-39-arm-linux-gnueabi.so
FileSize34412
MD5E7123D78036537AFA7FF3103A4BF942A
SHA-1027AD133B6637BCC235F30F57FF5A691BF2F7892
SHA-256ABDB80ADAC45C542A1640BFC46B794EFD16C9B40036AAD68C65A1723F68EC22D
SSDEEP768:C9EO2kn9NsWFAMcgszoyrygrK3+xUlEkDKAliSkB:ZO2kn9iecZz23DXO7
TLSHT1CBF2F60ABC40F967CCC13479B11B1774B2625FEAC5D23782D994C7A89E4266F8EB1743
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
FileSize3279356
MD579947E43589963C10FBDF49C8AE51247
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-159276D424C2463DA5124E0511F7DA154684406D5
SHA-256D9F52BF0FE7CD78C1BDA10798F0564276D7CFCAD484C2CE5D113A9B14483C40D