Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/rdkit/sping/PIL/pilfonts/courier-bold-24.pil |
FileSize | 5143 |
MD5 | FE9878E1BD46D0E3F71F9E90E35F755F |
SHA-1 | 0584491578C031003CBACAEAD8CC89827C55AB98 |
SHA-256 | 777B7C7634EF10D397B4D846E5000B2046056404DA70F5CC24295BBEA0A4220D |
SSDEEP | 48:DeVvRGxR9Zys9liEnmA/Kd95HOxsKIshdOdLwtPoRICbLkB9F8etmC:DehpAASzRhdCwdCex |
TLSH | T187B19743B7127B6BE8CD4732C4E3D3FA691374ACB1ED2E0BD20ADA08D0A24517C1A759 |
hashlookup:parent-total | 51 |
hashlookup:trust | 100 |
The searched file hash is included in 51 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 | 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 |
---|---|
FileSize | 1862116 |
MD5 | 9291AD7CB343D256BD6DFDEB55491AF0 |
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 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201309-1 |
SHA-1 | 1851BC5CFD2ABDC4ECD16949FE7769915BEF0910 |
SHA-256 | C63267BF64F02D395BD1949744CFA9D1C01C09D36D12102EA54EF5C60EBADE32 |
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 | 1844144 |
MD5 | 7E1F9B6D60352916F72D4EBE211D90EA |
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 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. |
PackageMaintainer | Debichem Team <debichem-devel@lists.alioth.debian.org> |
PackageName | python-rdkit |
PackageSection | python |
PackageVersion | 201403-1 |
SHA-1 | 2949B702383977093485E33CCBEAEC3A1FE14253 |
SHA-256 | 8C59850342EF223ADBFE2F7E6E73BBC41B43F5E8B683C337C6E22914810DA48A |
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 | 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 |