A structural analysis of the FDA green book-approved veterinary drugs and roles in human medicine
Abstract
The FDA Green Book is a list of all drug products that have been approved by the FDA for use in veterinary medicine. The Green Book, as published, lacks structural information corresponding to approved drugs. To address this gap, we have compiled the structural data for all FDA Green Book drugs approved through the end of 2019. Herein we discuss the relevance of this data set to human drugs in the context of structural classes and physicochemical properties. Analysis reveals that physicochemical properties are highly optimized and consistent with a high probability of favorable drug metabolism and pharmacokinetic properties, including good oral bioavailability for most compounds. We provide a detailed analysis of this data set organized on the basis of structure and function. Slightly over half (51%) of vet drugs are also approved in human medicine. Combination drugs are biologics are also discussed.
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About half of FDA-approved animal drugs are also approved for humans.
“About half of the FDA-approved animal drugs are also approved for humans (13).”
From DrugCentral 2023 extends human clinical data and integrates veterinary drugs (2023) · cites this paper as [13]
Half of the FDA-approved animal drugs are approved for human use.
“It has been previously noted that half of the FDA-approved animal drugs are approved for human use (13).”
From DrugCentral 2023 extends human clinical data and integrates veterinary drugs (2023) · cites this paper as [13]
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DrugCentral 2023 extends human clinical data and integrates veterinary drugs
Avram, S., Wilson, T. B., Curpan, R., Halip, L., Borota, A., Bora, A., Bologa, C. G., Holmes, J., Knockel, J., Yang, J. J., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1085 · Cited by 101 · see citing works
- Authors
- Scott, K. A., Qureshi, M. H., Cox, P. B., Marshall, C. M., Bellaire, B. C., Wilcox, M., Stuart, B. A. R., & Njardarson, J. T.
- Affiliations
- University of Arizona (US)
- AbbVie (United States) (US)
- Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721, United States
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-10-30
- Volume
- 63
- Issue
- 24
- Pages
- 15449-15482
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W3096653525
- Cited by
- 56
- References
- 140
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 9 · 2023: 9 · 2022: 13 · 2021: 5
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Division of Chemistry (CHE 1855708)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Keywords
- veterinary therapeutics, drug approval, molecular structure, physicochemical properties, drug metabolism, pharmacokinetics, oral bioavailability, structure-function relationship, biologics, combination drugs, drug repurposing
- MeSH terms
- Anesthetics, Animals, Anti-Inflammatory Agents, Anti-Bacterial Agents, Antifungal Agents, Antiparasitic Agents, Cytochrome P-450 Enzyme System, Humans, Insecticides, United States, United States Food and Drug Administration, Drug Approval, Veterinary Drugs, Small Molecule Libraries
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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