Result for 01659F5C13A04AEB8369422EF9929138B7A0F99E

Query result

Key Value
FileName./usr/share/doc/rdkit/html/api/rdkit.DataStructs.HierarchyVis-pysrc.html
FileSize55859
MD5AF4C9835FA222774406EEEF135FB5DB1
SHA-101659F5C13A04AEB8369422EF9929138B7A0F99E
SHA-25632F5BBD5486CA28BBBE22008923DA531FE9B8A0116CE0F10F193153842D5B411
SSDEEP384:t6xXZmQ0W6Y7l+F/r/h+ut8+GjP+lIBuptZHwdxNRX687VLbpjlKxeAFUwZIaHYK:8x/7oFj/l8ljQNyDa8V8x
TLSHT1B24365905EC8EA3F03875ADCC6193F1476CE84DAC6580A29FEE9A3535347EBBB841534
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize3371876
MD5D0918ED1E48F5743752EF5ED2A2E5497
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 alogrithm 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>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5+dfsg-1ubuntu1
SHA-15AC2BE0014E36C9522CD94D6583CA42036FF3ABE
SHA-256DFECA2C05A81A0AB5965DF1083AD9FA7FA156A16A1508DE0A4EDB5B71B3981D3
Key Value
FileSize3407012
MD54C015FBBD6038FB6B77363E70039B974
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 alogrithm 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>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5+dfsg-1ubuntu1
SHA-1B577F0E9059F73625561F21279DABF096248CD01
SHA-2565A9F71D50800BB849317F88DF5CA829FBA519546FE48B3653C30ABF5459D33E3
Key Value
FileSize5445688
MD5C685A367407880E9993C0A2F0E6E7D9D
PackageDescriptionCollection of cheminformatics and machine-learning software (documentation) RDKit is a Python/C++ based cheminformatics and machine-learning software environment. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamerdkit-doc
PackageSectiondoc
PackageVersion201603.5+dfsg-1ubuntu1
SHA-11CA767E4DEB3F13ABF6EB79BC3BAB0AFAE4F66A0
SHA-25635761085B9C2755F03FEFADA0CA43C2BD635481B4E9444057CBFE7C815EE0AEC