Others titles
- The Drug Bank Vocabulary Dataset
- DrugBank Vocabulary Dataset
- The DrugBank Vocabulary
Keywords
- Drugbank
- Drug Metabolism
- Drugs Pharmacogenomics
- Polymorphisms
- DrugBank Vocabulary
DrugBank Vocabulary
DrugBank is a richly annotated resource that combines drug data with drug target and drug action information. Released in 2006, DrugBank has been widely used to facilitate in silico drug target discovery, drug design, drug docking or screening, drug metabolism prediction, drug interaction prediction and general pharmaceutical education. “Drug Bank Vocabulary” contains information on DrugBank identifiers, names, and synonyms to permit easy linking and integration into any type of project.
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Description
The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. The database contains 9591 drug entries including 2037 FDA-approved small molecule drugs, 241 FDA-approved biotech (protein/peptide) drugs, 96 nutraceuticals and over 6000 experimental drugs. Additionally, 4661 non-redundant protein (i.e. drug target/enzyme/transporter/carrier) sequences are linked to these drug entries.
DrugBank is widely used by the drug industry, medicinal chemists, pharmacists, physicians, students and the general public. Its extensive drug and drug-target data has enabled the discovery and repurposing of a number of existing drugs to treat rare and newly identified illnesses.
About this Dataset
Data Info
Date Created | 2006-01-01 |
---|---|
Last Modified | 2022-01-03 |
Version | 5.1.9 |
Update Frequency |
Quarterly |
Temporal Coverage |
N/A |
Spatial Coverage |
United States |
Source | John Snow Labs; The DrugBank; |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | Drugbank, Drug Metabolism, Drugs Pharmacogenomics, Polymorphisms, DrugBank Vocabulary |
Other Titles | The Drug Bank Vocabulary Dataset, DrugBank Vocabulary Dataset, The DrugBank Vocabulary |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
Drug_Bank_Id | Unique Drug Bank ID consisting of a 2 letter prefix (DB) and a 5 number suffix. Identifier of the chemical in the DrugBank database ('|'-delimited list). The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. | string | required : 1 |
Accession_Number | Accession number consists of the 4 letter prefix and a 5 number suffix. Each Accession number is unique to the drug's generic name. The 4 letter suffix (APRD, EXPT, BIOD, NUTR) indicates the type of drug (APRD=approved small molecule drug, EXPT=experimental drug, BIOD=biotech drug, NUTR=nutraceutical or natural product). ('|'-delimited list) | string | - |
Common_Name_of_Drug | Chemical name of the drug as provided by the manufacturer | string | required : 1 |
CAS_Registry_Number | Chemical Abstract Service (CAS) identification number | string | - |
FDA_UNII_Code | UNII (Substance Registration System - Unique Ingredient Identifier (UNII) code is used for substances in drugs, biologics, foods, and devices. The UNII is a non- proprietary, free, unique, unambiguous, non semantic, alphanumeric identifier based on a substance’s molecular structure and/or descriptive information | string | - |
Synonym | Alternate names (protein names, abbreviations, etc.) by which the chemical is known. ('|'-delimited list) | string | - |
Standard_InChI_Key | Standard InChI key. InCHI (The IUPAC International Chemical Identifier) is a non-proprietary identifier for chemical substances that can be used in printed and electronic data sources thus enabling easier linking of diverse data compilations. | string | - |
Data Preview
Drug Bank Id | Accession Number | Common Name of Drug | CAS Registry Number | FDA UNII Code | Synonym | Standard InChI Key |
DB00001 | BIOD00024 | BTD00024 | Lepirudin | 138068-37-8 | Y43GF64R34 | Hirudin variant-1 | Lepirudin | Lepirudin recombinant | |
DB00002 | BIOD00071 | BTD00071 | Cetuximab | 205923-56-4 | PQX0D8J21J | Cetuximab | Cétuximab | Cetuximabum | |
DB00003 | BIOD00001 | BTD00001 | Dornase alfa | 143831-71-4 | 953A26OA1Y | Deoxyribonuclease (human clone 18-1 protein moiety) | Dornasa alfa | Dornase alfa | Dornase alfa, recombinant | Dornase alpha | Recombinant deoxyribonuclease (DNAse) | |
DB00004 | BIOD00084 | BTD00084 | Denileukin diftitox | 173146-27-5 | 25E79B5CTM | Denileukin | Denileukin diftitox | Interleukin-2/diptheria toxin fusion protein | |
DB00005 | BIOD00052 | BTD00052 | Etanercept | 185243-69-0 | OP401G7OJC | Etanercept | etanercept-szzs | etanercept-ykro | Recombinant human TNF | rhu TNFR:Fc | rhu-TNFR:Fc | TNFR-Immunoadhesin | |
DB00006 | BIOD00076 | BTD00076 | DB02351 | EXPT03302 | Bivalirudin | 128270-60-0 | TN9BEX005G | Bivalirudin | Bivalirudina | Bivalirudinum | OIRCOABEOLEUMC-GEJPAHFPSA-N |
DB00007 | BIOD00009 | BTD00009 | Leuprolide | 53714-56-0 | EFY6W0M8TG | Leuprorelin | Leuprorelina | Leuproreline | Leuprorelinum | GFIJNRVAKGFPGQ-LIJARHBVSA-N |
DB00008 | BIOD00043 | BTD00043 | Peginterferon alfa-2a | 198153-51-4 | Q46947FE7K | PEG-IFN alfa-2A | PEG-Interferon alfa-2A | Peginterferon alfa-2a | Pegylated Interfeaon alfa-2A | Pegylated interferon alfa-2a | Pegylated interferon alpha-2a | Pegylated-interferon alfa 2a | |
DB00009 | BIOD00050 | BTD00050 | Alteplase | 105857-23-6 | 1RXS4UE564 | Alteplasa | Alteplase | Alteplase (genetical recombination) | Alteplase, recombinant | Alteplase,recombinant | Plasminogen activator (human tissue-type protein moiety) | rt-PA | t-PA | t-plasminogen activator | Tissue plasminogen activator | Tissue plasminogen activator alteplase | Tissue plasminogen activator, recombinant | tPA | |
DB00010 | BIOD00033 | BTD00033 | Sermorelin | 86168-78-7 | 89243S03TE | Sermorelin |