Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/rdkit/ML/ScreenComposite.py |
FileSize | 54916 |
MD5 | F3383B5A0C32ABE317686284D27F3ADA |
SHA-1 | 020133D93C3AA1698015C1DBCB16816199AB8256 |
SHA-256 | 68C30A16CC7D14A1B8CDEA174B08E93858329C918EB8E3584E20AA94FD0CCA8C |
SSDEEP | 768:Kpx0AkO1Z6meCYRmRtn3gYhy+7FyZFTOJh:4TGCYRm37FyZFTOJh |
TLSH | T11C33A571FD532A6DE303987D78DAC2472335F91745402431BAED82281F8AA35B7B2AF5 |
hashlookup:parent-total | 11 |
hashlookup:trust | 100 |
The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 3168172 |
MD5 | E94B550F021398F81BFC5E7F205FC075 |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | 30940540678E101A73D6014A22146C152C35F89A |
SHA-256 | 8DEC5DDE869204FE8821990B2A78F23E12AF19E8CFDC3509FDE4CE663D0C7CD3 |
Key | Value |
---|---|
FileSize | 3145442 |
MD5 | 53AF53EF34E4C37C0CF96D5B4673AA0D |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | 6C9F9CF68DFDEDB83C7C478100A1B463E39A5325 |
SHA-256 | 215897EFDCDFFED856A95AA5265D08396E3503AEEC6C26BF271416D897D2D28F |
Key | Value |
---|---|
FileSize | 3140254 |
MD5 | A11934D7F5DB13014E385714FBB87CAD |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | 6611C37D877BFAED2CD228B22C5BE7CE8F4510D9 |
SHA-256 | F373E98D8E24CBB5F63804BC3B6D9B7DE2D7BD430FFCA5D781152C34DCA59E4D |
Key | Value |
---|---|
FileSize | 3380024 |
MD5 | 260688EB61412C3A54C00A2168514774 |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | 690910D8777BA2F59C6C19D2F98117F118AAAC14 |
SHA-256 | 843A24EB26AB2062933B2D403B6801B703FE563FD48BC58264D4A64C4FC443EF |
Key | Value |
---|---|
FileSize | 3285796 |
MD5 | EC515F96EE7FE52A10DAB1F0D56C6FCF |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | AD59123850EE3720D77C8775FF763C623991322A |
SHA-256 | 8AAAEC6D193FEC611FBF41B8B96EE5856DF17283B89D51D42587800A536591F1 |
Key | Value |
---|---|
FileSize | 3239018 |
MD5 | 7BBD69DEF9FE154A8AD9DD0AFA66D694 |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | D1D1D5CF24FD2ACC1FC141B3BD150BCFBD714FE3 |
SHA-256 | 6B519F20246E9DC960DED8844715CE8D6C22CB7EB30B45A144FC3C975BACB1FE |
Key | Value |
---|---|
FileSize | 3371876 |
MD5 | D0918ED1E48F5743752EF5ED2A2E5497 |
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 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5+dfsg-1ubuntu1 |
SHA-1 | 5AC2BE0014E36C9522CD94D6583CA42036FF3ABE |
SHA-256 | DFECA2C05A81A0AB5965DF1083AD9FA7FA156A16A1508DE0A4EDB5B71B3981D3 |
Key | Value |
---|---|
FileSize | 3407012 |
MD5 | 4C015FBBD6038FB6B77363E70039B974 |
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 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5+dfsg-1ubuntu1 |
SHA-1 | B577F0E9059F73625561F21279DABF096248CD01 |
SHA-256 | 5A9F71D50800BB849317F88DF5CA829FBA519546FE48B3653C30ABF5459D33E3 |
Key | Value |
---|---|
FileSize | 3082282 |
MD5 | 6FF819452411C355BB47508675F2C497 |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | FFED36E5E9A56A2FAE9FDCFCB3A8E015683747C6 |
SHA-256 | 4C875CC9B616D5C5F03DDD09E50D5FD8D4E62676A370A4E1546E86DBD0D8ED3E |
Key | Value |
---|---|
FileSize | 3265492 |
MD5 | 16D215E4D84188F14F808FDA30C3BF49 |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | 5BB6EECC43A34E1F53ED7E9BB2C35CF14CE37D33 |
SHA-256 | D2641E4AE0024CECFF47C3F5F7FF4353883FA4A8D31D515A9574842A444832BC |
Key | Value |
---|---|
FileSize | 3435682 |
MD5 | A625632900F9AE7627A6A93614071CD5 |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201603.5-2 |
SHA-1 | DE6E19421EB9A29A2FD8E21CFBEE65025B73CB1C |
SHA-256 | 874D88E003A727843B81852EB6E225657649284F0F4B22554A8B1A6DA36E23C6 |