Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/rdkit/ML/Cluster/ClusterUtils.py |
FileSize | 4413 |
MD5 | 310CC916B2B10168D4F2FEE4C0622D37 |
SHA-1 | 078CF7DD77F56D381553F0857465FC04C27034EB |
SHA-256 | FEADEA0BBEE542253218BFBC41F5516BD3CED24CBE43DAB5B0DA9928255F229E |
SSDEEP | 96:7++Q7T87YzV2uLdjdHcBiPvpjWWFdYGiNF8GiNpjT+Rr6Rh:7++Q7T87YzV2uLdjdHcBiPvpjWWFdYn4 |
TLSH | T1A391EF32999522E2FF05F4788C66C5F9731AAC0F451A00FAB49DC264BF03668B2F71D9 |
hashlookup:parent-total | 41 |
hashlookup:trust | 100 |
The searched file hash is included in 41 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 |
---|---|
MD5 | 6B26C8DAA8DB7F51CFD2921B42104337 |
PackageArch | aarch64 |
PackageDescription | Python 3 bindings for RDKit libraries |
PackageMaintainer | Fedora Project |
PackageName | python3-rdkit |
PackageRelease | 12.fc33 |
PackageVersion | 2019.03.3 |
SHA-1 | 0FC15C46FFFB1FE791A8078B67AAD4DEB3752E43 |
SHA-256 | A8DEEECC76A9581D73D3D295D610F1141BD13B0D2E38FAE822E6AA7456D79E8B |
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 | 3011932 |
MD5 | 5B82111ABD583FCAE4E6CA98939137D0 |
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 | python-rdkit |
PackageSection | python |
PackageVersion | 201809.1+dfsg-6 |
SHA-1 | 161DCA32C476EEC6691992F37F00E66BE09DAB77 |
SHA-256 | 8489FE72F3F8367D1A49A3FD285B67129A7A17D61E9155E2C56EF8412416656C |
Key | Value |
---|---|
MD5 | 89680E2F748E10E22013293475216B65 |
PackageArch | x86_64 |
PackageDescription | Python 3 bindings for RDKit libraries |
PackageMaintainer | Fedora Project |
PackageName | python3-rdkit |
PackageRelease | 6.fc32 |
PackageVersion | 2019.03.3 |
SHA-1 | 1D248C1ED12E8E2D1BCD3ABEFD53061D3598DEB2 |
SHA-256 | 65EDA439EB4F2F7154054F275A8ABB76DE5B0820CE45F12D1D67A5764146AE41 |
Key | Value |
---|---|
MD5 | DE34B44E60FE1D6417C3E8AF4CAEDAFE |
PackageArch | x86_64 |
PackageDescription | Python 3 bindings for RDKit libraries |
PackageMaintainer | Fedora Project |
PackageName | python3-rdkit |
PackageRelease | 12.fc33 |
PackageVersion | 2019.03.3 |
SHA-1 | 20C57107192F4FE53015957886367F67B56A0E61 |
SHA-256 | 46A0FEA5B7A44BBB442415422FDD6E6A041F328CF54DD0D67D85C7B504785E56 |
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 |