Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/rdkit/sping/examples/tkCanvas-with-scrollbars.py |
FileSize | 2611 |
MD5 | A7A05C660FC0E76B01E96E17480998EC |
SHA-1 | 05FF7B98737DD0252994D72CAFF96CAA3609FD29 |
SHA-256 | 9615BEDA4609AB04BD21B624D35470358C5611F176AEC21F416E4A1215CA61ED |
SSDEEP | 48:1dh8CFMI+9IRex30hi3mT7rqtXOXvrmXUHXNXFUCWnoU/y6:v6CFMl9IRexkQe9rLSCWnoU/y6 |
TLSH | T177511F15817B975C03DB94AF89FA7293E21F1E8322EC608930BEAB1D1F5837154A9DF4 |
hashlookup:parent-total | 22 |
hashlookup:trust | 100 |
The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 3769640 |
MD5 | 807A0AE8B46A1ECB357C41BEE59F4702 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.5-2 |
SHA-1 | 026239E52F418C5E2DBE9604CB1AD84F892688C8 |
SHA-256 | BC190F870F283779EF0E24BFB3F73A0C6951B8EB3E214C66B2A54829AE139BCE |
Key | Value |
---|---|
FileSize | 3370016 |
MD5 | F3121ABC694BACDC6480ADFA0F6C00A2 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.5-2 |
SHA-1 | 072A32CCE39FEC94BACF86EE80769EE106CB95EF |
SHA-256 | A6E01E71516A0E62A88BAC0ED09BA5DE3176292C6ECCA6CD89EA5283828D3EDA |
Key | Value |
---|---|
FileSize | 3340280 |
MD5 | 9767B7B0B4F853ABE37F8A731166AF42 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.4-1 |
SHA-1 | 109E05AE6738982B797B011B557D084D09549EB2 |
SHA-256 | D86870C03FECE877F406A8126A5821B68405DDC5FBC6F1DF057148409E16C998 |
Key | Value |
---|---|
FileSize | 3704432 |
MD5 | 0C35E6AB35F950752C8B874F84F335B1 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.4-1 |
SHA-1 | 279B12F899847534BE5C086483F0C8EA981E612E |
SHA-256 | 8F495A6913B8228D5BF432EEBDA997E80A0B9C603CF77D060EF353B91EA99C74 |
Key | Value |
---|---|
FileSize | 3112456 |
MD5 | 033892D54A3907D4C717343B22506A35 |
PackageDescription | Collection 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 201909.1-2ubuntu5 |
SHA-1 | 3A90747B2F8CEF6E6A9F456FFA359B5F5BEB67C6 |
SHA-256 | 09724E618E8168166D644290C4A8ACBE835689BDBADC7BE662518347AF7A57BC |
Key | Value |
---|---|
FileSize | 3744148 |
MD5 | 32CF94202E52A280B30749463F0F9AB7 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.4-1 |
SHA-1 | 3CEFD094195BB4BF739B327551E155C05B85E5F6 |
SHA-256 | C925B03DC18E9E79A97BD46B44240C7B543B3D961FDE44D2351F7ECC9A842282 |
Key | Value |
---|---|
FileSize | 3821064 |
MD5 | A4DA70ABA3C6130DB0864CFD734EDB32 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.4-1 |
SHA-1 | 4FA177A54C98DFADBD328B235B571532EDD611E4 |
SHA-256 | 6CB8C355B710E0154B39E6AAF0B98894576E8B8AB2923C2931EC879BE71D3394 |
Key | Value |
---|---|
FileSize | 3279356 |
MD5 | 79947E43589963C10FBDF49C8AE51247 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.4-1 |
SHA-1 | 59276D424C2463DA5124E0511F7DA154684406D5 |
SHA-256 | D9F52BF0FE7CD78C1BDA10798F0564276D7CFCAD484C2CE5D113A9B14483C40D |
Key | Value |
---|---|
FileSize | 3472704 |
MD5 | 2E73F08BABF06E5B945466358446F8F9 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.5-2 |
SHA-1 | 60A8EC70AF15B0D380F9CABF0162C7125078E059 |
SHA-256 | 7800D1E4A43C6C5F8B7E671EDF9B2A59FF8F46B763FFCFE0F94F5311C2F45526 |
Key | Value |
---|---|
FileSize | 3245500 |
MD5 | 259787145D5CB3628F7F922B4832C6B0 |
PackageDescription | Collection 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python3-rdkit |
PackageSection | python |
PackageVersion | 202009.4-1 |
SHA-1 | 763D44F06A73AA00BC82273EEF8B7888DC0EA69C |
SHA-256 | 1F8474AB87D51DD80D1F3D8EE7E8D4229A927ED75DAD76BF826B95D3896CBE76 |