Result for 0012808A9C732CAFF154B96C56744A498887DC78

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/rdkit/Chem/Lipinski.py
FileSize3980
MD54A778FD5778014188E76B2127929A38F
SHA-10012808A9C732CAFF154B96C56744A498887DC78
SHA-256157972EB01A09A500FAF9EFEA4D0008C22222C044E59C68EB1D9DC3F3ED281A6
SSDEEP96:vrwvhwnKiTTKTDgVFOaOoBe1/eLMlm/7QqsiKT45+v:DQqKeTKHMFOaOB51lYErimS+v
TLSHT13C81B41EACF976D11E42C2D16A1EF2D5CB0629A72856C51FB0DFB1082743ED8897ECC8
hashlookup:parent-total19
hashlookup:trust100

Network graph view

Parents (Total: 19)

The searched file hash is included in 19 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1862116
MD59291AD7CB343D256BD6DFDEB55491AF0
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 descriptors * Fragmentation using RECAP rules * 2D coordinate generation and depiction * 3D coordinate generation using geometry embedding * UFF forcefield * Calculation of (R/S) stereochemistry codes * Pharmacophore searching * Calculation of shape similarity * Atom pairs and topological torsions fingerprints * Feature maps and feature-maps vectors * Machine-learning algorithms * Gasteiger-Marsili partial charge calculation . File formats RDKit supports include MDL Mol, SDF, TDT, SMILES and RDKit binary format.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201309-1
SHA-11851BC5CFD2ABDC4ECD16949FE7769915BEF0910
SHA-256C63267BF64F02D395BD1949744CFA9D1C01C09D36D12102EA54EF5C60EBADE32
Key Value
FileSize1844144
MD57E1F9B6D60352916F72D4EBE211D90EA
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 descriptors * Fragmentation using RECAP rules * 2D coordinate generation and depiction * 3D coordinate generation using geometry embedding * UFF forcefield * Calculation of (R/S) stereochemistry codes * Pharmacophore searching * Calculation of shape similarity * Atom pairs and topological torsions fingerprints * Feature maps and feature-maps vectors * Machine-learning algorithms * Gasteiger-Marsili partial charge calculation . File formats RDKit supports include MDL Mol, SDF, TDT, SMILES and RDKit binary format.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201403-1
SHA-12949B702383977093485E33CCBEAEC3A1FE14253
SHA-2568C59850342EF223ADBFE2F7E6E73BBC41B43F5E8B683C337C6E22914810DA48A
Key Value
FileSize3168172
MD5E94B550F021398F81BFC5E7F205FC075
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.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5-2
SHA-130940540678E101A73D6014A22146C152C35F89A
SHA-2568DEC5DDE869204FE8821990B2A78F23E12AF19E8CFDC3509FDE4CE663D0C7CD3
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
FileSize3265492
MD516D215E4D84188F14F808FDA30C3BF49
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.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5-2
SHA-15BB6EECC43A34E1F53ED7E9BB2C35CF14CE37D33
SHA-256D2641E4AE0024CECFF47C3F5F7FF4353883FA4A8D31D515A9574842A444832BC
Key Value
FileSize1896762
MD55121AB1C0EB922ADDC0D75B4A3A83132
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 descriptors * Fragmentation using RECAP rules * 2D coordinate generation and depiction * 3D coordinate generation using geometry embedding * UFF forcefield * Calculation of (R/S) stereochemistry codes * Pharmacophore searching * Calculation of shape similarity * Atom pairs and topological torsions fingerprints * Feature maps and feature-maps vectors * Machine-learning algorithms * Gasteiger-Marsili partial charge calculation . File formats RDKit supports include MDL Mol, SDF, TDT, SMILES and RDKit binary format.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201309-1
SHA-15D422A3A1315F85B173F658F03BD48FD7C3BFE9A
SHA-256128B82BC9A3D12FD28A027E3117FFF5F0A251F0D78CB381B85F114028AE93FE6
Key Value
FileSize3140254
MD5A11934D7F5DB13014E385714FBB87CAD
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.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5-2
SHA-16611C37D877BFAED2CD228B22C5BE7CE8F4510D9
SHA-256F373E98D8E24CBB5F63804BC3B6D9B7DE2D7BD430FFCA5D781152C34DCA59E4D
Key Value
FileSize3380024
MD5260688EB61412C3A54C00A2168514774
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.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5-2
SHA-1690910D8777BA2F59C6C19D2F98117F118AAAC14
SHA-256843A24EB26AB2062933B2D403B6801B703FE563FD48BC58264D4A64C4FC443EF
Key Value
FileSize3145442
MD553AF53EF34E4C37C0CF96D5B4673AA0D
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.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201603.5-2
SHA-16C9F9CF68DFDEDB83C7C478100A1B463E39A5325
SHA-256215897EFDCDFFED856A95AA5265D08396E3503AEEC6C26BF271416D897D2D28F
Key Value
FileSize2023844
MD50C5E38102DD3EC02E7A390FC54007564
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 descriptors * Fragmentation using RECAP rules * 2D coordinate generation and depiction * 3D coordinate generation using geometry embedding * UFF forcefield * Calculation of (R/S) stereochemistry codes * Pharmacophore searching * Calculation of shape similarity * Atom pairs and topological torsions fingerprints * Feature maps and feature-maps vectors * Machine-learning algorithms * Gasteiger-Marsili partial charge calculation . File formats RDKit supports include MDL Mol, SDF, TDT, SMILES and RDKit binary format.
PackageMaintainerDebichem Team <debichem-devel@lists.alioth.debian.org>
PackageNamepython-rdkit
PackageSectionpython
PackageVersion201403-1
SHA-18F3B36553B20BB2E2DD29C941AD873302A4606EB
SHA-256451F1EAD6A8401FD0D4AA973666F633796E944C0919FCC8E51629056BE9CB9D7