Key | Value |
---|---|
FileName | ./usr/share/doc/rdkit/html/api/toc-rdkit.Chem.EState-module.html |
FileSize | 965 |
MD5 | 8899BE54E65CE7D637648F3C43305D66 |
SHA-1 | 017A39D7EEF02193C5E13546AF9823E3BBF1753A |
SHA-256 | CA257C9DD8179E01B95A00D859A816C4546B7814392E0CF735D998942C9C0A1F |
SSDEEP | 24:2d+MKme5bDSSJDlsV4NkTCXavvjZNaFPMV35Krts1WA4HQfP4j:cKbD1xDNI/t35Ky1WA4HQoj |
TLSH | T1B0112102AC51D245C4D259E1EBA2F122D4A2D12E43C4D84CF6EE805E67DA7488C6B2EA |
hashlookup:parent-total | 16 |
hashlookup:trust | 100 |
The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 5445688 |
MD5 | C685A367407880E9993C0A2F0E6E7D9D |
PackageDescription | Collection of cheminformatics and machine-learning software (documentation) RDKit is a Python/C++ based cheminformatics and machine-learning software environment. . This package contains the documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | rdkit-doc |
PackageSection | doc |
PackageVersion | 201603.5+dfsg-1ubuntu1 |
SHA-1 | 1CA767E4DEB3F13ABF6EB79BC3BAB0AFAE4F66A0 |
SHA-256 | 35761085B9C2755F03FEFADA0CA43C2BD635481B4E9444057CBFE7C815EE0AEC |
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 | 5455482 |
MD5 | 11312B15A61C6192767D5FDC6DFF1F90 |
PackageDescription | Collection of cheminformatics and machine-learning software (documentation) RDKit is a Python/C++ based cheminformatics and machine-learning software environment. . This package contains the documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | rdkit-doc |
PackageSection | doc |
PackageVersion | 201503-3 |
SHA-1 | 30E98E44B610414CF65EE611E79B0C5977E335A5 |
SHA-256 | 0DE44C8AE3A087A4A0070AE75A227F7345B8C5834C91E3C5B4EB50D5BF898152 |
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 | 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 | 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 | 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 | 5483586 |
MD5 | CDA5E4696AF99032F6E1145C6EE27689 |
PackageDescription | Collection of cheminformatics and machine-learning software (documentation) RDKit is a Python/C++ based cheminformatics and machine-learning software environment. . This package contains the documentation. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | rdkit-doc |
PackageSection | doc |
PackageVersion | 201603.5-2 |
SHA-1 | 85ADA97B5D4AA4B4BC0B616F7E07566B3284ABB1 |
SHA-256 | 37A70E7A1894E936C90FE6F4549EFBCE645D80598DC9638397C0305A0F13BA19 |
Key | Value |
---|---|
FileSize | 3196258 |
MD5 | 63B69830E2562372DC14721D182A96B4 |
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 | 201503-3 |
SHA-1 | 99CE791C1BCEB3EADCAC6338C817FE7F1882DD4F |
SHA-256 | 51E5DF9B4AD9A8F2E47FB20EEBF8E8F308B8688B23A1C9054FBE40954806B4AB |