Published September 18, 2026
| Version e-Drug3D_2162 (2025)
Dataset
Open
Structures of FDA-approved drugs and their active metabolites and data sets of experimental PD and PK properties
Authors/Creators
- 1. Inserm, CNRS, Université Côte d'Azur, Institut de Pharmacologie Moléculaire et Cellulaire
Description
Data sets are extracted from the 2025 release of the e-Drug3D Database (2162 FDA-approved drug structures)
- e-Drug3D_2162.zip (contains e-Drug3D_2162.sdf) - Chemical Structures - The e-Drug3D collection in SDF format file - one 3D conformer; ionization of carboxylic acid, phosphate, phosphonate, phosphonoamide, amidinium and guanidinium groups. The datablock contains the ID, name (INN), CAS number and Status.
- e-Drug3D_2162_PK.csv - Pharmacokinetics - Column/field value is separated by a semicolon. It contains the e-Drug3D ID, INN (drug name), CAS number, year of approval, Status, is_or_has a metabolite, routes of administration, Volume of distribution (VD), Clearance (Cl), Plasma Protein Binding (PPB), Half-life (t1/2), Bioavailability (F), Cmax/Tmax, comment on solubility.
- e-Drug3D_2162_PD.csv - Pharmacodynamics - Column/field value is separated by a semicolon. It contains the e-Drug3D ID, INN (drug name), CAS number, year of approval, Status, Primary target, ATC code(s), PDB codes and main list of drug targets.
- e-Drug3D_2162_RD.csv - FDA Registration Data - Column/field value is separated by a semicolon. It contains the ID, name (INN), CAS number, First year of approval, Status, KNApSAcK or NPAtlas Id if natural product, all associated NDA numbers [FDA approval number, name of the label file in PDF format, company name, year of approval and commercial name of the drug] and the Indication/Therapeutic class information.
- labels.tar.gz - The drug label files in PDF format (compressed directory). A label file is named with the NDA number. The NDA number is the approval number assigned by the FDA. A drug may possess several NDA numbers (see the above e-Drug3D-RD data set).
Files
e-Drug3D_2162.zip
Files
(2.2 GB)
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md5:b9fc4f5982363c3677802075dd2d5d9c
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1.9 MB | Preview Download |
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md5:65e639c2d49f39eb213483c593953c1f
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491.2 kB | Preview Download |
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md5:f56b0e1f446a8627b71ea1a35c8ddefb
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274.8 kB | Preview Download |
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md5:4ecfef15d81ca741302c364e714607bd
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5.0 MB | Preview Download |
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md5:fbd87327f5464dd6146326a31551707e
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2.2 GB | Download |
Additional details
Related works
- Is new version of
- Journal article: 10.1021/acsmedchemlett.7b00462 (DOI)
- Journal article: 10.1093/bioinformatics/bts186 (DOI)
Dates
- Updated
-
2025-08-27