DrugCentral 2023 extends human clinical data and integrates veterinary drugs
Open accessAbstract
DrugCentral monitors new drug approvals and standardizes drug information. The current update contains 285 drugs (131 for human use). New additions include: (i) the integration of veterinary drugs (154 for animal use only), (ii) the addition of 66 documented off-label uses and iii) the identification of adverse drug events from pharmacovigilance data for pediatric and geriatric patients. Additional enhancements include chemical substructure searching using SMILES and ‘Target Cards’ based on UniProt accession codes. Statistics of interests include the following: (i) 60% of the covered drugs are on-market drugs with expired patent and exclusivity coverage, 17% are off-market, and 23% are on-market drugs with active patents and exclusivity coverage; (ii) 59% of the drugs are oral, 33% are parenteral and 18% topical, at the level of the active ingredients; (iii) only 3% of all drugs are for animal use only; however, 61% of the veterinary drugs are also approved for human use; (iv) dogs, cats and horses are by far the most represented target species for veterinary drugs; (v) the physicochemical property profile of animal drugs is very similar to that of human drugs. Use cases include azaperone, the only sedative approved for swine, and ruxolitinib, a Janus kinase inhibitor.
AI snapshot
Written from the paper’s full text.
TL;DR
DrugCentral 2023 is a database update that adds 285 drugs (131 human-only, 154 veterinary-only), integrates veterinary drugs, 66 documented off-label uses, and age-stratified pediatric/geriatric adverse event signals. It reports descriptive statistics on patent status, administration routes, species coverage, and physicochemical similarity between human and veterinary drugs.
Key findings
- The update adds 285 drugs approved up to 31 March 2022: 131 for human use only and 154 for veterinary use only; 242 existing drugs are now associated with both human and veterinary approvals. It indexes 396 unique veterinary drugs from FDA’s Green Book, of which 154 were new entries.
- Patent and route statistics: 60% of covered drugs are OFP, 17% OFM, and 23% ONP; 59% are oral, 33% parenteral, and 18% topical. Only 3% of all indexed drugs are animal-use only, while 61% of veterinary drugs are also approved for human use; dogs (211), cats (120), horses (117), cattle (105), and swine (57) are the most represented species.
- Off-label uses: 66 new off-label uses (40 drugs, 51 conditions) were extracted from the r/medicine Reddit subforum; 90% are mentioned in at least four PubMed articles, with a median of 36 articles per off-label use, and at least one clinical trial exists for 73% of them.
- Adverse events: FAERS_GER significant signals are 1753 times larger than FAERS_PED; at LLR > threshold, pediatric data have 136 drug–AE pairs (70 drugs/99 AEs) versus 238,410 pairs (1724 drugs/11,832 AEs) in geriatric data.
Methods
- DrugCentral monitors FDA, EMA, and PMDA approvals and standardizes drug information; this release adds approvals through 31 March 2022, veterinary drugs from FDA’s Green Book, off-label uses from r/medicine, and FAERS adverse event signals stratified by age (pediatric 1 day–17 years; geriatric >65 years).
- New functionality includes Target Cards queried by UniProt accession and chemical substructure searching using SMILES, supported by the RDKit PostgreSQL cartridge; data are available via web interface, PostgreSQL dump, Docker container, and Python API.
- Analyses are descriptive database statistics and comparisons, including physicochemical property distributions, bioactivity potency summaries, and literature/clinical trial documentation counts for off-label versus approved indications.
Limitations
- Stated in the paper: off-patent classifications for veterinary drugs were assigned only for veterinary drugs approved for human use because the OrangeBook covers only human drugs; capturing “extra-label uses” for veterinary medicine is not trivial; and no new data were generated or analyzed in support of the research.
- Evident from the text: the new off-label uses come from an unconventional source (Reddit medical forum), although the paper reports that they were documented through literature and clinical trial searches.
- Evident from the text: the large geriatric-versus-pediatric FAERS signal difference is interpreted by the authors as possibly reflecting increased drug consumption, prolonged treatment, overlapping treatments, and multiple diseases in older adults rather than a pure risk comparison.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 52 cited sources checked · 0 supported · 0 flagged
- Findingown data
DrugCentral 2023 integrates 154 veterinary drugs for animal use only.
“the integration of veterinary drugs (154 for animal use only)”
Quote in the paperSubstantial claim - Findingown data
61% of veterinary drugs are also approved for human use.
“however, 61% of the veterinary drugs are also approved for human use”
Quote in the paperNot a substantial claim - Findingown data
DrugCentral 2023 identifies adverse drug events from pharmacovigilance data for pediatric and geriatric patients.
“the identification of adverse drug events from pharmacovigilance data for pediatric and geriatric patients”
Quote in the paperSubstantial claim - Findingown data
Only 3% of all drugs are for animal use only.
“(iii) only 3% of all drugs are for animal use only”
Quote in the paperNot a substantial claim - Findingown data
DrugCentral 2023 adds 66 documented off-label uses.
“the addition of 66 documented off-label uses”
Quote in the paperSubstantial claim
- Findingown data
DrugCentral 2023 enriched primary content with 285 newly approved drugs up to 31 March 2022.
“its primary content was enriched with 285 newly approved drugs up to 31 March 2022”
Quote in the paperSubstantial claim - Findingown data
The number of bioactivity points increased by 12.6% to a total of 18,961 compared to 2021.
“The number of bioactivity points increased by 12.6% (to a total of 18 961) compared to 2021 (see Table 1).”
Quote in the paperNot a substantial claim - Findingown data
197 small organic molecules and 59 biologics were added to the database.
“197 small organic molecules and 59 biologics, i.e. peptides, monoclonal antibodies (mAb), antibody-drug conjugates (ADCs), proteins, and oligonucleotides, were added to the database.”
Quote in the paperNot a substantial claim - Findingcitation
DrugCentral 2023 adds a set of well-documented off-label uses retrieved from the Reddit medical forum.
“we add a set of well-documented off-label uses retrieved from a rather unconventional source, the Reddit medical forum (19).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Avram, 2022, Annotating off-label drug usage from unconventional sources source
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- Findingown data
There is a ∼2.5 increase in the number of drugs licensed in Japan compared to DrugCentral 2021.
“there is a ∼2.5 increase in the number of drugs licensed in Japan compared to DrugCentral 2021.”
Quote in the paperNot a substantial claim - Findingown data
Almost half of the activity endpoints were manually extracted from drug labels (27%) and scientific literature (20%).
“Almost half were manually extracted from drug labels (27%) and the scientific literature (20%).”
Quote in the paperNot a substantial claim - Findingreasoning
242 drugs already stored in DrugCentral are now associated with human and veterinary approvals.
“Thereby, 242 drugs already stored in DrugCentral are now associated with human and veterinary approvals.”
Quote in the paperNot a substantial claim - Findingown data
Dogs, cats and horses are by far the most represented target species for veterinary drugs.
“(iv) dogs, cats and horses are by far the most represented target species for veterinary drugs”
Quote in the paperNot a substantial claim - Findingown data
More than 85% (234 drugs) of newly added drugs have external identifiers in PubChem, WHO INN, DrugBank, ChEMBLdb, KEGG, UNII, UMLS, etc.
“More than 85% (234 drugs) of the newly added drugs have external identifiers in PubChem (25), World Health Organization (WHO) International Nonproprietary Names (INN), DrugBank (26), ChEMBLdb (27), KEGG (28), FDA’s Global Substance Registration System—Unique Ingredient Identifier (UNII; https://bit.ly/3MNMqwQ), Unified Medical Language System, UMLS (29), etc. (Table 1).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [25] Kim, 2021, PubChem in 2021: new data content and improved web interfaces, Nucleic Acids Res. source
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- cites [26] Wishart, 2006, DrugBank: a comprehensive resource for in silico drug discovery and exploration, Nucleic Acids Res. source
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- cites [27] Mendez, 2019, ChEMBL: towards direct deposition of bioassay data, Nucleic Acids Res. source
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- Findingown data
There are 107 targets defined as mechanism-of-action (MoA) targets for 112 new drugs.
“There are 107 targets defined as mechanism-of-action (MoA) targets for 112 new drugs.”
Quote in the paperNot a substantial claim - Findingcitation
DrugCentral 2023 adds 285 new drugs to the 2021 publication.
“The 2023 version of DrugCentral adds 285 new drugs to the 2021 publication (3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Avram, 2021, DrugCentral 2021 supports drug discovery and repositioning, Nucleic Acids Res. source
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- Findingown data
487 activity endpoints were captured for newly added drugs.
“In total, 487 activity endpoints were captured for newly added drugs.”
Quote in the paperNot a substantial claim - Findingown data
The rest of the newly added drugs were split equally between EMA and PMDA, i.e. 48 and 47 drugs, respectively.
“whereas the rest of the drugs were split equally between EMA and PMDA, i.e. 48 and 47 drugs, respectively.”
Quote in the paperNot a substantial claim - Findingown data
Since its 2016 version, this is the largest increase in new drugs added to a DrugCentral update.
“Since its 2016 version, this is the largest increase in new drugs added to a DrugCentral update (Figure 1B).”
Quote in the paperNot a substantial claim - Findingown data
The other half of activity endpoints originates from ChEMBLdb and IUPHAR/BPS Guide to Pharmacology.
“The other half originates from ChEMBLdb (27) and the IUPHAR/BPS Guide to Pharmacology (30).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [27] Mendez, 2019, ChEMBL: towards direct deposition of bioassay data, Nucleic Acids Res. source
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- cites [30] Harding, 2022, The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials, Nucleic Acids Res. source
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- Findingown data
Most biologics added are represented by mAbs (47%) and peptides (24%).
“most drugs are represented by mAbs (47%) and peptides (24%).”
Quote in the paperNot a substantial claim - Findingown data
These targets are modulated by increasing numbers of mAb and ADC, mainly directed toward cytokines, surface antigens, and membrane receptors.
“These targets are modulated by increasing numbers of mAb and ADC, mainly directed toward cytokines, surface antigens, and membrane receptors.”
Quote in the paperSubstantial claim - Findingcitation
DrugCentral indexed a dataset of 396 unique veterinary drugs from FDA's Green Book.
“We indexed a dataset of 396 unique veterinary drugs from the FDA’s ‘Green Book’ (45).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Center for Veterinary Medicine Approved Animal Drug Products (Green Book), 2022
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- Findingown data
A total of 112,359 labels (submitted for human use) were retrieved based on 1885 active ingredients mapped into DrugCentral.
“A total of 112 359 labels (submitted for human use) were retrieved based on 1885 active ingredients (drugs) mapped into DrugCentral.”
Quote in the paperNot a substantial claim - Findingown data
The vast majority of new activity data-76% (359 bioactivities)-is covered by kinases (38%), GPCRs (21%) and enzymes (17%).
“The vast majority of the new activity data—76% (359 bioactivities)—is covered by kinases (38%), GPCRs (21%) and enzymes (17%).”
Quote in the paperNot a substantial claim - Findingown data
Analysis of novel MoA drug targets published annually in Nature Reviews Drug Discovery with data pulled from DrugCentral shows, on average, an enrichment rate of 15 novel drug targets per year.
“The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [33] Ursu, 2019, Novel drug targets in 2018, Nat. Rev. Drug Discov.
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- cites [34] Avram, 2020, Novel drug targets in 2019, Nat. Rev. Drug Discov. source
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- cites [41] Avram, 2021, Novel drug targets in 2020, Nat. Rev. Drug Discov. source
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- cites [42] Avram, 2022, Novel drug targets in 2021, Nat. Rev. Drug Discov. source
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- Findingown data
Only 47 of these MoA targets are new compared to the previous DrugCentral version.
“Only 47 (briefly described in Table 2) of these are new targets compared to the previous DrugCentral version.”
Quote in the paperNot a substantial claim - Findingown data
The majority of these drugs (75%) are compliant with Lipinski's rules of 5.
“The majority of these drugs (75%) are compliant with Lipinski's rules of 5 (Ro5).”
Quote in the paperNot a substantial claim - Findingown data
The current update adds 1805 bioactivities for 226 veterinary drugs and 804 targets.
“The current update adds 1805 bioactivities for 226 veterinary drugs and 804 targets.”
Quote in the paperSubstantial claim - Findingown data
The other 154 veterinary drugs were inserted into the database as new entries.
“The other 154 drugs were inserted into the database as new entries (see Figure 1A).”
Quote in the paperNot a substantial claim - Findingown data
DrugCentral currently holds 2581 indications (pairs of drug and concept names) for 30 species.
“As a result, DrugCentral currently holds 2581 indications (pairs of drug and concept names) for 30 species.”
Quote in the paperNot a substantial claim - Findingcitation
39 new targets were annotated as Tclin.
“39 new targets were annotated as Tclin, i.e. MoA targets through which approved drugs exert their therapeutic action (32–34).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [32] Santos, 2017, A comprehensive map of molecular drug targets, Nat. Rev. Drug Discov. source
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- cites [33] Ursu, 2019, Novel drug targets in 2018, Nat. Rev. Drug Discov.
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- cites [34] Avram, 2020, Novel drug targets in 2019, Nat. Rev. Drug Discov. source
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- Findingown data
The HUMAN set covers the largest number of targets (3196 targets and 2462 drugs) compared to HUMVET (780 targets and 193 drugs) and VETERINARY (96 targets and 33 drugs).
“Unsurprisingly, the HUMAN set covers the largest number of targets (3196 targets and 2462 drugs) compared to HUMVET (780 targets and 193 drugs) and VETERINARY (96 targets and 33 drugs).”
Quote in the paperNot a substantial claim - Findingown data
The main target classes are enzymes (322 targets), GPCRs (173 targets), and ion channels (134 targets).
“The main target classes are enzymes (322 targets), GPCRs (173 targets), and ion channels (134 targets), as shown in Figure 4 (B).”
Quote in the paperNot a substantial claim - Findingown data
Of the 396 veterinary drugs, 242 were already captured in DrugCentral for human use.
“Of these, 242 were already captured in DrugCentral for human use.”
Quote in the paperNot a substantial claim - Findingown data
Nearly half (884) of the activity values are submicromolar.
“Nearly half (884) of the activity values are submicromolar.”
Quote in the paperNot a substantial claim - Findingown data
Currently, 664 Tclin human targets have been identified.
“Currently, 664 Tclin human targets have been identified.”
Quote in the paperNot a substantial claim - Findingown data
The comparison of potency values in drugs acting on non-MoA targets versus MoA targets shows a difference of two log units between median values in favor of MoA targets.
“The comparison of the potency values in drugs acting on non-MoA targets versus MoA targets shows a difference of two log units between the median values in favor of the latter.”
Quote in the paperNot a substantial claim - Findingown data
There is only one mAb-type drug licensed for animals, frunevetmab.
“Regarding mAb-type drugs, there is only one drug licensed for animals, frunevetmab.”
Quote in the paperNot a substantial claim - Findingown data
The novel drug targets captured between 2018 and 2021 are modulated by 27 mAb (and ADC) and only 19 small molecules.
“The novel drug targets captured between 2018 and 2021 are modulated by 27 mAb (and ADC) and only 19 small molecules.”
Quote in the paperSubstantial claim - Findingown data
Drugs acting on the nervous system (central or peripheral) compose the second largest group with 90 representatives (23%).
“Drugs acting on the nervous system (central or peripheral) compose the second largest group with 90 representatives (23%).”
Quote in the paperNot a substantial claim - Findingown data
202 new drugs were linked to 404 pharmacologic classification codes.
“In total, 202 new drugs were linked to 404 pharmacologic classification codes.”
Quote in the paperNot a substantial claim - Findingown data
We added a set of 66 new off-label uses (40 drugs and 51 unique medical conditions or diseases) extracted from the r/medicine Reddit subforum.
“To the 2446 OLUs (651 drugs and 815 diseases/medical conditions) indexed by DrugCentral, we added a set of 66 new off-label uses (40 drugs and 51 unique medical conditions or diseases) extracted from the r/medicine Reddit subforum (https://bit.ly/3MFHIB0).”
Quote in the paperSubstantial claim - Findingown data
The dataset of small molecules with MW between 50 and 1250 a.m.u. includes 351 animal drugs.
“The data set of small molecules with molecular weight (MW) between 50 and 1250 a.m.u. includes 351 animal drugs.”
Quote in the paperNot a substantial claim - Findingown data
Dogs, cattle and cats comprise 62% of the indications covered by 290 veterinary drugs.
“Dogs, cattle and cats comprise 62% of the indications covered by 290 veterinary drugs.”
Quote in the paperNot a substantial claim - Findingown data
DrugCentral veterinary data contains application numbers and types, trade names, applicant names, and prescription types for 1492 drug products as referenced in FDA's Green Book.
“DrugCentral veterinary data contains application numbers and types, trade names, applicant names, and prescription types for 1492 drug products as referenced in FDA’s Green Book.”
Quote in the paperSubstantial claim - Findingown data
DrugCentral indexed 2446 OLUs (651 drugs and 815 diseases/medical conditions).
“To the 2446 OLUs (651 drugs and 815 diseases/medical conditions) indexed by DrugCentral, we added a set of 66 new off-label uses (40 drugs and 51 unique medical conditions or diseases) extracted from the r/medicine Reddit subforum (https://bit.ly/3MFHIB0).”
Quote in the paperNot a substantial claim - Findingown data
GPCR activities are the highest among these protein families in both human and veterinary drugs, with mean values 8.35 (±1.56) -log[M] and 7.72 (±1.54) -log[M], respectively.
“GPCR activities are the highest among these protein families in both human and veterinary drugs, as reflected by the mean values: 8.35 (± 1.56) –log[M] and 7.72 (± 1.54) –log[M], respectively (Table 3).”
Quote in the paperNot a substantial claim - Findingown data
Only 3.1% of the 4927 drugs indexed in DrugCentral are for animal use only.
“However, only 3.1% of the 4927 drugs indexed in DrugCentral are for animal use only.”
Quote in the paperSubstantial claim - Findingown data
The number of significant adverse event signals (LLR exceeds threshold t) found in FAERS_GER is 1753 times larger compared to FAERS_PED.
“As reported in Table 5, the number of significant adverse event signals (the log-likelihood ratio - LLR - exceeds the likelihood threshold, t) found in FAERS_GER is 1753 times larger compared to FAERS_PED.”
Quote in the paperNot a substantial claim - Findingcitation
Its DrugCentral record indicates that this is a veterinary drug only.
“Its DrugCentral record indicates that this is a veterinary drug only (https://drugcentral.org/drugcard/5590).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites https://drugcentral.org/drugcard/5590
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- Findingown data
Based on the 395 Green Book medicines captured in DrugCentral, five animal species are predominantly represented concerning drug uses: dogs (211), cats (120), horses (117), cattle (105) and swine (57).
“Based on the 395 Green Book medicines captured in DrugCentral, five animal species are predominantly represented concerning drug uses (the number of unique active ingredients targeting that species is in brackets): dogs (211), cats (120), horses (117), cattle (105) and swine (57), respectively.”
Quote in the paperSubstantial claim - Findingnone given
The vast majority (80%) of these clinical trial results have been published.
“The vast majority (80%) of these clinical trial results have been published.”
Quote in the paperNot a substantial claim - Findingown data
Current DrugCentral entries show that ∼61.1% of animal drugs are approved for both human and animal use.
“Current DrugCentral entries show that ∼61.1% of animal drugs are approved for both human and animal use (see also Figure 1).”
Quote in the paperSubstantial claim - Findingcitation
Azaperone did not receive regulatory approval for human use.
“However, exhaustive literature searches, including Dutch pharmaceutical references from the 1960s and 1970s, suggest that this drug did not receive regulatory approval for human use (I.M. van Geijlswijk, personal communication).”
Quote in the paperNot a substantial claim - Findingown data
In the case of meta-analyses, there are two times more publications for approved indications compared to off-label uses.
“However, in the case of meta-analyses, there are two times more publications for approved indications compared to off-label uses.”
Quote in the paperNot a substantial claim - Findingown data
Regarding the publication types associating drug names with off-label uses and approved indications, both sets have similar proportions.
“Regarding the publication types associating drug names with off-label uses and approved indications, both sets have similar proportions (Figure 5).”
Quote in the paperNot a substantial claim - Findingown data
The same drug set showed a median of 221 PubMed articles per indication.
“By comparison, the same drug set showed a median of 221 PubMed articles per indication (Table 4).”
Quote in the paperNot a substantial claim - Findingnone given
DrugCentral 2023 contains human drugs approved up to 31 March 2022.
“DrugCentral 2023 contains human drugs approved up to 31 March 2022.”
Quote in the paperNot a substantial claim - Findingown data
All other species are represented with 43 uses or less.
“All other species are represented with 43 uses or less.”
Quote in the paperNot a substantial claim - Findingown data
Dogs, cats and horses are the most represented target species in the veterinary pharmaceutical arsenal.
“(iv) dogs, cats and horses are the most represented target species in the veterinary pharmaceutical arsenal;”
Quote in the paperNot a substantial claim - Findingnone given
Regarding their physicochemical property profile (MW, CLOGP, etc.), animal drugs have a similar distribution to human drugs.
“(v) regarding their physicochemical property profile (MW, CLOGP, etc.), animal drugs have a similar distribution to human drugs.”
Quote in the paperNot a substantial claim - Interpretationown data
This trend suggests an increase in potency, in particular for novel drugs.
“This trend suggests an increase in potency, in particular for novel drugs.”
Quote in the paperSubstantial claim- Rests on an assumption: Higher median activity values indicate increased potency.
- Study design and conductreasoning
Off-patent classifications were assigned only for veterinary drugs approved for human use since the OrangeBook only covers human drugs.
“Off-patent classifications were assigned only for veterinary drugs approved for human use since the OrangeBook only covers human drugs.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The absence of ADC and RNA drugs suggests that therapeutic modalities for animal use trail behind human medicines regarding innovation.
“The absence of ADC and RNA drugs suggests that therapeutic modalities for animal use trail behind human medicines regarding innovation.”
Quote in the paperNot a substantial claim- Rests on an assumption: The absence of ADC and RNA drugs indicates that therapeutic modalities for animal use trail behind human medicines regarding innovation.
- Premisecitation
Veterinarians can legally prescribe an approved human drug in animals in certain circumstances, according to the U.S. Federal Food, Drug, and Cosmetic Act.
“Veterinarians can legally prescribe an approved human drug in animals in certain circumstances, according to the U.S. Federal Food, Drug, and Cosmetic Act (https://bit.ly/3ghtnPf).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites https://bit.ly/3ghtnPf
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- Interpretationcitation
This specific activity protects severely infected COVID-19 patients from the cytokine storm.
“This specific activity protects severely infected COVID-19 patients from the cytokine storm (55).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Fajgenbaum, 2020, Cytokine storm, N. Engl. J. Med. source
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- Premisecitation
The antibiotic moxidectin, initially approved for animal use, was later approved for humans.
“This is not always true: the antibiotic moxidectin, initially approved for animal use, was later approved for humans (14).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Milton, 2020, Moxidectin: an oral treatment for human onchocerciasis, Expert Rev. Anti. Infect. Ther. source
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- Premisecitation
Baricitinib lowers 28-day mortality in hospitalized COVID-19 patients in a significant manner.
“Baricitinib lowers 28-day mortality in hospitalized COVID-19 patients in a significant manner (54).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Selvaraj, 2022, Baricitinib in hospitalised patients with COVID-19: a meta-analysis of randomised controlled trials, EClinicalMedicine source
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- Premisecitation
According to its in vitro profile, baricitinib is a Janus kinase (JAK) inhibitor that preferentially blocks JAK1 and JAK2, as opposed to other kinases.
“According to its in vitro profile, baricitinib is a Janus kinase (JAK) inhibitor that preferentially blocks JAK1 and JAK2, as opposed to other kinases (https://drugcentral.org/drugcard/5202).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites https://drugcentral.org/drugcard/5202
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- Premisecitation
Ruxolitinib failed to show significant protection in the treatment of severe coronavirus disease.
“However, ruxolitinib failed to show significant protection in the treatment of severe coronavirus disease (57) and the National Institutes of Health recommends against using ruxolitinib for the treatment of COVID-19 (https://bit.ly/3TtgsIe).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57] Cao, 2020, Ruxolitinib in treatment of severe coronavirus disease 2019 (COVID-19): a multicenter, single-blind, randomized controlled trial, J. Allergy Clin. Immunol. source
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- Interpretationreasoning
Medicines approved for humans are more likely to be repurposed for animal use, not the other way around.
“These statistics suggest that medicines approved for humans are more likely to be repurposed for animal use, not the other way around.”
Quote in the paperSubstantial claim - Interpretationown data
Animal-to-human drug repurposing is a more difficult prospect.
“(iii) while 61% of the veterinary drugs are approved for human use, only 3% of all drugs are for animal use – which makes animal-to-human drug repurposing a more difficult prospect;”
Quote in the paperSubstantial claim
- May combine two claims. 49
- Classified as probably not a substantial claim. 29
May combine two claims.
Findingown data60% of covered drugs are on-market drugs with expired patent and exclusivity coverage, 17% are off-market, and 23% are on-market drugs with active patents and exclusivity coverage.
“(i) 60% of the covered drugs are on-market drugs with expired patent and exclusivity coverage, 17% are off-market, and 23% are on-market drugs with active patents and exclusivity coverage”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDrugCentral 2023 update contains 285 drugs, of which 131 are for human use.
“The current update contains 285 drugs (131 for human use).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data59% of drugs are oral, 33% parenteral, and 18% topical, at the level of active ingredients.
“(ii) 59% of the drugs are oral, 33% are parenteral and 18% topical, at the level of the active ingredients”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDrugCentral 2023 includes post-marketing drug events in populations up to 17 years of age (pediatric) and over 65 years (geriatric).
“A third feature of the new DrugCentral version refers to post-marketing drug events in populations up to 17 years of age (pediatric) and over 65 years (geriatric).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAround 73% (255 drugs) of newly added drugs received their first approval from FDA, including all veterinary drugs.
“Around 73% (255 drugs) of the newly added drugs received their first approval from FDA (including all veterinary drugs)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf the 285 new drugs, 131 were approved only for human use and 154 only for veterinary use.
“Of these, 131 were approved only for human use and 154 only for veterinary use (Figure 1A).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe number of new orphan drugs approved to treat rare diseases remains constant at ∼60, as reported in 2021.
“The number of new orphan drugs approved to treat rare diseases (23) remains constant at ∼60, as reported in 2021 (Table 1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] Tambuyzer, 2020, Therapies for rare diseases: therapeutic modalities, progress and challenges ahead, Nat. Rev. Drug Discov. source
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May combine two claims.
Findingnone givenDrugCentral 2023 adds veterinary drugs, off-label drug uses not indexed by conventional medical sources, and adverse drug events for pediatric and geriatric medicine.
“DrugCentral 2023 adds new features: (i) veterinary drugs, (ii) off-label drug uses not indexed by conventional medical sources and (iii) adverse drug events for pediatric and geriatric medicine.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenThe physicochemical property profile of animal drugs is very similar to that of human drugs.
“(v) the physicochemical property profile of animal drugs is very similar to that of human drugs”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAlmost half of the biologics (46%) received orphan designations and are associated with rare disease therapies.
“almost half of the biologics (46%) received orphan designations and are associated with rare disease therapies.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataApproval status was updated with 101 drugs approved by FDA, 48 by EMA, and 47 by PMDA.
“101 drugs approved by the FDA, 48 by EMA, and 47 by PMDA (Table 1)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDrugCentral indexed a dataset of 395 unique veterinary agents from FDA's Green Book and curated associated related data.
“we indexed a dataset of 395 unique veterinary agents from FDA’s ‘Green Book’”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAround 60% of drugs are OFP, 17% OFM, and 23% ONP.
“Around 60% of the drugs are OFP (on-market drugs with expired patent and exclusivity coverage), 17% are OFM (off-market drugs) and 23% are ONP (on-market drugs covered by active patent and exclusivity) status.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThe 2023 DrugCentral database contains off-patent tags for 1712 drugs, a 10% increase compared to 2021.
“The 2023 DrugCentral database contains off-patent tags for 1712 drugs, a 10% increase in drug annotations compared to 2021 (24).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Avram, 2020, Off-Patent drug repositioning, J. Chem. Inf. Model. source
Not checked in the free run.
May combine two claims.
FindingreasoningPost-marketing surveillance data from FDA's FAERS has been aggregated based on age, and significant adverse events were identified and incorporated into DrugCentral.
“post-marketing surveillance data from FDA’s FAERS has been aggregated based on age, and significant adverse events were identified and incorporated into the database.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe ratio between the number of targets to the number of drugs is highest in HUMVET (4 targets/drug), followed by VETERINARY (3 targets/drug) and HUMAN (1.3 targets/drug).
“However, the ratio between the number of targets to the number of drugs is highest in HUMVET (4 targets/drug), followed by VETERINARY (3 targets/drug) and HUMAN (1.3 targets/drug) (Figure 4C and D).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThere are 166 drugs mapped into the off-patent schema: 119 OFP, 46 OFM, and only one ONP.
“There are 166 drugs mapped into the off-patent schema (24) as follows: 119 OFP, 46 OFM, and only one ONP.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Avram, 2020, Off-Patent drug repositioning, J. Chem. Inf. Model. source
Not checked in the free run.
May combine two claims.
Findingown dataIn terms of basic physicochemical and structural properties, the middle 80% of the data ranges as follows: 200 ≤ MW ≤ 615, −1 ≤ CLOGP ≤ 5.25, 1 ≤ ROTB ≤ 11, 2 ≤ HBA ≤ 12, HBD ≤ 4.
“the middle 80% of the data ranges as follows: 200 ≤ MW ≤ 615, −1 ≤ CLOGP ≤ 5.25 (the calculated 1-octanol/water partition coefficient), 1 ≤ ROTB ≤ 11 (number of rotatable bonds), 2 ≤ HBA ≤ 12 (number of hydrogen bond acceptors), HBD ≤ 4 (number of hydrogen bond donors).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRegarding prescription type, 57% of the veterinary drug products (covering most drugs: 305) are Rx and 43% are OTC.
“Regarding prescription type, 57% of the veterinary drug products (covering most drugs: 305) are Rx and 43% are OTC.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf 4927 drugs stored in DrugCentral, 65% were successfully mapped into WHO ATC classes and 61% into MeSH data.
“Of 4927 drugs stored in DrugCentral, 65% were successfully mapped into WHO ATC classes and 61% into MeSH data (Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost of these products (77%) are originals (approved as new animal drug applications; NADA), and the remaining 23% are generics (or ANDA).
“Most of these products (77%) are originals (approved as new animal drug applications; NADA), and the remaining 23% are generics (or ANDA; a copy of an approved new animal drug for which patents or other periods of exclusivity are near expiration).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost bioactivity data (65%) pertain to human targets, followed by 18% determined against rat, mouse, and bovine targets.
“Most bioactivity data (65%) pertain to human targets, followed by 18% determined against rat, mouse, and bovine targets.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe three distributions are very similar, but a slight shift towards larger values can be observed in VET drugs for MW (median 444.61 a.m.u.) and HBA (median 7) relative to HUM and HUMVET drugs (MW medians 358.48 and 345.87 a.m.u., HBA medians 5 and 5).
“The three distributions are very similar, but a slight shift towards larger values can be observed in VET drugs for MW (median of 444.61 a.m.u.) and HBA (median of 7) relative to HUM and HUMVET drugs (MW medians of 358.48 a.m.u. and 345.87 a.m.u., respectively, and HBA medians of 5 and 5, respectively).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe top three WHO ATC L1 groups with the largest number of drugs are nervous system (522 drugs), alimentary tract and metabolism (450), and cardiovascular system (396).
“The top three WHO ATC L1 groups (anatomical or pharmacologic) with the largest number of drugs are: the nervous system (522 drugs), the alimentary tract and metabolism (450), and the cardiovascular system (396).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFigure 3 plots density distributions separately for 4078 drugs approved only for human use (HUM), 135 drugs approved only for veterinary use (VET), and 216 drugs approved for both human and veterinary use (HUMVET).
“A more detailed view of small molecules is provided in Figure 3, which plots density distributions separately for 4078 drugs approved only for human use (HUM), 135 drugs approved only for veterinary use (VET), and 216 drugs approved for both human and veterinary use (HUMVET).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe median for newly added activity values for MoA targets is higher compared to the median of those indexed in DrugCentral 2021: at least 80% of activity values are >7.7 −log[M] (median 8.4) for new MoA targets compared to >6.43 −log[M] (median 8) previously.
“at least 80% of the activity values are >7.7 −log[M] (median of 8.4 −log[M]) for the new MoA targets compared to >6.43 −log[M] (median of 8 −log[M]) previously found in DrugCentral.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data90% of the new OLUs (pair of drug - medical condition) are mentioned in at least four scientific articles in PubMed, with a median of 36 articles per off-label use.
“The results showed that 90% of the new OLUs (pair of drug - medical condition) are mentioned in at least four scientific articles in PubMed, with a median of 36 articles per off-label use.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data81% of drugs (in 64,704 products) are licensed for human prescription (Rx), and 19% (in 72,986 products) are over-the-counter (OTC) drugs.
“Further, 81% of the drugs (in 64 704 products) are licensed for human prescription (Rx), and 19% (in 72 986 products) are over-the-counter (OTC) drugs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRegarding active ingredients relative to administration route, 59% of drugs are oral, 33% parenteral, and 18% topical.
“regarding the number of active ingredients relative to the administration route, we found that 59% of the drugs are oral, followed by 33% parenteral and 18% topical.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThe current version of DrugCentral reports 708 Tchem, 415 Tbio and 26 Tdark proteins, mapped onto TCRD and interfaced with Pharos.
“The current version of DrugCentral reports 708 Tchem, 415 Tbio and 26 Tdark proteins, mapped onto the Target Central Resource Database (TCRD) and interfaced with the TCRD portal, Pharos, respectively (39,40).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [39] Nguyen, 2017, Pharos: collating protein information to shed light on the druggable genome, Nucleic Acids Res. source
Not checked in the free run.
- cites [40] Sheils, 2021, TCRD and pharos 2021: mining the human proteome for disease biology, Nucleic Acids Res. source
Not checked in the free run.
May combine two claims.
Findingown dataMost veterinary drugs (83%) are small organic molecules, and only 5.3% are biologics.
“Most veterinary drugs (83%) are small organic molecules, and only 5.3% are biologics.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe third group comprises 34 antiinflammatory drugs: 14 non-steroidal and 20 glucocorticoids.
“The third group comprises 34 antiinflammatory drugs: 14 non-steroidal and 20 glucocorticoids.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere are 137,693 drug products, of which 88% are formulated for oral (48%) and topical (40%) administration.
“There are 137 693 drug products, of which 88% are formulated for oral (48%) and topical (40%) administration.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataKinase activities cover the largest number of protein targets but the smallest number of drugs among the three protein families.
“Kinase activities cover the largest number of protein targets but also the smallest number of drugs among the three protein families.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe largest pharmacological class in veterinary drugs is defined by anti-infective agents (32% according to MeSH), mainly comprising antibiotics and antiparasitics.
“The largest pharmacological class in veterinary drugs is defined by anti-infective agents (32% according to the MeSH pharmacological classification), mainly comprising antibiotics and antiparasitics (Figure 4A).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data60% of the drugs are OFP, 17% are OFM, and 23% are ONP.
“We also uncovered several interesting statistics: (i) 60% of the drugs are OFP, 17% are OFM, and 23% are ONP;”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe outcomes showed at least one clinical trial for 73% of the new OLUs and for all approved indications.
“The outcomes showed at least one clinical trial for 73% of the new OLUs and, not surprisingly, for all approved indications (Table 4).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenCurrently, azaperone is the only sedative approved for pigs.
“Currently, azaperone is the only sedative approved for pigs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 2023 version computes adverse drug event scores granulated by age: pediatric data (FAERS_PED) covers patients from 1 day to 17 years, and geriatric data (FAERS_GER) focuses on elderly patients over 65 years of age.
“The 2023 version goes further by computing adverse drug event scores granulated by age: pediatric data (FAERS_PED) covers patients from 1 day to 17 years, and geriatric data (FAERS_GER) focuses on elderly patients over 65 years of age respectively.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe 2023 release supports 'Target Card' and chemical substructure queries.
“The 2023 release also supports ‘Target Card’ and chemical substructure queries (vide infra).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere are 70 drugs and 99 terms describing the adverse event in pediatrics, versus 1724 drugs with 11 832 MedDRA PTs in geriatric data.
“There are 70 drugs and 99 terms describing the adverse event in pediatrics, versus 1724 drugs with 11 832 MedDRA PTs in geriatric data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenAccording to DrugCentral records, baricitinib is approved for atopic dermatitis and rheumatoid arthritis, while ruxolitinib is approved for myeloproliferative disorders, including polycythemia vera.
“According to DrugCentral records, baricitinib is approved for atopic dermatitis and rheumatoid arthritis, while ruxolitinib is approved for myeloproliferative disorders, including polycythemia vera.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe top 3 drugs showing the most AEs are ampicillin, acetylsalicylic acid and ibuprofen in pediatrics, while in geriatrics, the top drugs are methotrexate, etanercept, and tacrolimus.
“For example, the top 3 drugs showing the most AEs are ampicillin, acetylsalicylic acid and ibuprofen (usually used to treat acute diseases) in pediatrics, while in geriatrics, the top drugs are methotrexate, etanercept, and tacrolimus (used in chronic conditions).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBased on their administration route, 59% of the drugs are orally formulated, with 33% parenteral and 18% topical.
“(ii) based on their administration route, 59% of the drugs are orally formulated, with 33% parenteral and 18% topical;”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAbout 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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Scott, 2020, A structural analysis of the FDA green book-approved veterinary drugs and roles in human medicine, J. Med. Chem. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHarm rates in pediatrics remain high (19.1 adverse events per 1000 inpatient days) despite nationwide efforts to improve patient safety.
“Harm rates in pediatrics remain high (19.1 adverse events per 1000 inpatient days) despite nationwide efforts to improve patient safety (22).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] Stockwell, 2018, Adverse events in hospitalized pediatric patients, Pediatrics source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUsing pharmaceutical formulations or dosage not mentioned in the drug label for an indication falls into the practice of off-label drug use.
“Using pharmaceutical formulations (e.g. oral solution instead of capsules) or dosage (e.g. two tablets instead of one per day) not mentioned in the drug label for an indication also falls into the practice of off-label drug use (16).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Wittich, 2012, Ten common questions (and their answers) about off-label drug use, Mayo Clin. Proc. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIt is estimated that 57% of drug therapy innovations were discovered by practicing clinicians through field discovery.
“it is estimated that 57% of drug therapy innovations were discovered by practicing clinicians through field discovery (18).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Demonaco, 2006, The major role of clinicians in the discovery of off-label drug therapies, Pharmacotherapy source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenApproved therapeutic drug uses, off-label uses and contraindications are manually curated from drug labels and scientific literature.
“Approved therapeutic drug uses, off-label uses and contraindications are manually curated from drug labels and the scientific literature.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPhysicians may treat off-label clinical conditions and diseases for patients that respond poorly to conventional treatment, often in specific populations poorly represented in clinical trials, e.g. pediatric, pregnant or psychiatric patients.
“physicians may treat off-label clinical conditions and diseases for patients that respond poorly to conventional treatment, often in specific populations poorly represented in clinical trials, e.g. pediatric, pregnant or psychiatric patients (16).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Wittich, 2012, Ten common questions (and their answers) about off-label drug use, Mayo Clin. Proc. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome veterinary antibiotics were first approved in animals.
“However, some were first approved in animals (14).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Milton, 2020, Moxidectin: an oral treatment for human onchocerciasis, Expert Rev. Anti. Infect. Ther. source
Not checked in the free run.
May combine two claims.
PremisecitationThe COVID-19 pandemic has emphasized the impact of zoonotic diseases on human health and highlighted veterinary drugs as a potential source of viable antivirals.
“The recent COVID-19 pandemic has emphasized the impact of zoonotic diseases on human health but has also highlighted veterinary drugs as a potential source of viable antivirals (15).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Ma, 2020, Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease, Cell Res. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVeterinary medicine plays a crucial role in human and public health by improving animal health, agriculture and food systems, biomedical and comparative medical research, and addressing zoonotic diseases.
“Veterinary medicine plays a crucial role in human and public health by improving animal health (companion animals, wildlife, exotic animals and food animals), agriculture and food systems, biomedical and comparative medical research, and addressing zoonotic diseases (12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] King, 2006, Veterinary medicine and public health at CDC, MMWR Suppl.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDrugCentral has been a public digital database aggregating drug information since 2016.
“DrugCentral has been a public digital database aggregating drug information since 2016 (1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] Ursu, 2016, DrugCentral: online drug compendium, Nucleic Acids Res. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMedical care could be the third leading cause of death in the United States.
“and could be the third leading cause of death in the United States (21).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Makary, 2016, Medical error-the third leading cause of death in the uS, BMJ source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA study mining US NDTI prescription data showed that 21% of overall drug use is off-label, of which 73% had little or no scientific support.
“A study mining US Health National Disease and Therapeutic Index (NDTI) prescription data showed that 21% of overall drug use is off-label, of which 73% had little or no scientific support (17).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Radley, 2006, Off-label prescribing among office-based physicians, Arch. Intern. Med. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIt is estimated that medical care is responsible for 10,000-444,000 deaths annually.
“It is estimated that medical care is responsible for 10 000–444 000 deaths annually (20)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] James, 2013, A new, evidence-based estimate of patient harms associated with hospital care, J. Patient Saf. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNearly all veterinary antibiotics were first approved in humans.
“Nearly all veterinary antibiotics were first approved in humans.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Milton, 2020, Moxidectin: an oral treatment for human onchocerciasis, Expert Rev. Anti. Infect. Ther. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationIncluding veterinary drugs in DrugCentral could inform promiscuity analyses such as BADAPPLE, a chemical pattern detection algorithm.
“Including veterinary drugs in DrugCentral could inform promiscuity analyses such as BADAPPLE, a chemical pattern detection algorithm (46).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Yang, 2016, Badapple: promiscuity patterns from noisy evidence, J. Cheminform. source
Not checked in the free run.
May combine two claims.
Study design and conductcitationChemical structures were manually assigned to 140 of the latest veterinary drugs, and molecular descriptors and structure depictions were computed per DrugCentral workflow.
“Chemical structures were manually assigned to 140 of the latest veterinary drugs, and molecular descriptors and structure depictions were computed per DrugCentral workflow (1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] Ursu, 2016, DrugCentral: online drug compendium, Nucleic Acids Res. source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe high percentage of OFP drugs, and the similar molecular property profile distribution, suggest that veterinary drugs may be viable candidates in animal drug repositioning programs.
“The high percentage of OFP drugs, and the similar molecular property profile distribution, suggest that veterinary drugs may be viable candidates in animal drug repositioning programs.”
Quote in the paperSubstantial claim- Rests on an assumption: Off-patent status and similar molecular property profile distribution indicate that veterinary drugs may be viable candidates in animal drug repositioning programs.
May combine two claims.
InterpretationreasoningHuman-to-animal drug repurposing opportunities exist and are supported by 'extra-label uses'.
“This suggests that human-to-animal drug repurposing opportunities exist and are supported by ‘extra-label uses’ (approved FDA terminology).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAzaperone (Stresnil®) is used to reduce fear and aggression in recently mixed groups of pigs, based on a 1968 report showing its sedative effect in swine.
“Azaperone (Stresnil®) is used to reduce fear and aggression in recently mixed groups of pigs, based on a 1968 report showing its sedative effect in swine (50).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Marsboom, 1968, Ervaringen met azaperone (R1929*) als sedativum bij het varken, Tijdschr. Diergeneeskd.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAzaperone is a butyrophenone invented by Paul Janssen, as part of a series of neuroleptic drugs.
“Use case: Azaperone is a butyrophenone invented by Paul Janssen, as part of a series of neuroleptic drugs (49).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] Janssen, 1961, Heterocyclic derivatives of 1-phenyl-omega-(piperazine)alkanols
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBased on an in-house drug discovery knowledge graph, BenevolentAI scientists proposed baricitinib, at the time approved for rheumatoid arthritis, as a drug repurposing candidate for severe COVID-19.
“Based on an in-house drug discovery knowledge graph, BenevolentAI scientists proposed baricitinib, at the time approved for rheumatoid arthritis, as a drug repurposing candidate for severe COVID-19 (52,53).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [52] Richardson, 2020, Baricitinib as potential treatment for 2019-nCoV acute respiratory disease, Lancet source
Not checked in the free run.
- cites [53] Smith, 2021, Expert-Augmented computational drug repurposing identified baricitinib as a treatment for COVID-19, Front. Pharmacol. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHalf 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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Scott, 2020, A structural analysis of the FDA green book-approved veterinary drugs and roles in human medicine, J. Med. Chem. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataHumans are more predisposed to provide pharmaceutical care to companion animals (i.e. dogs, cats and horses), than domesticated (food) animals or wild animals.
“Given this therapeutic arsenal, it appears that humans are more predisposed to provide pharmaceutical care to companion animals (i.e. dogs, cats and horses), than domesticated (food) animals or wild animals.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe top 10 FAERS-listed adverse events, regardless of gender or age, are consistent with ruxolitinib affecting the bone marrow, which probably makes this drug less suitable in severe viral infections.
“The top 10 FAERS-listed adverse events, regardless of gender or age, are consistent with ruxolitinib affecting the bone marrow (adverse events related to platelets, erythrocytes and white blood cells, and splenomegaly), which probably makes this drug less suitable in severe viral infections.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationRuxolitinib has a similar kinase inhibition profile with a higher JAK1/JAK2 potency.
“Ruxolitinib has a similar kinase inhibition profile with a higher JAK1/JAK2 potency (https://drugcentral.org/drugcard/4190).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites https://drugcentral.org/drugcard/4190
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe National Institutes of Health recommends against using ruxolitinib for the treatment of COVID-19.
“However, ruxolitinib failed to show significant protection in the treatment of severe coronavirus disease (57) and the National Institutes of Health recommends against using ruxolitinib for the treatment of COVID-19 (https://bit.ly/3TtgsIe).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites https://bit.ly/3TtgsIe
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe lack of approved anti-SARS-CoV-2 drugs during the initial phases of the COVID-19 pandemic led to increased enthusiasm in computer-aided drug repurposing.
“The lack of approved anti-SARS-CoV-2 drugs during the initial phases of the COVID-19 pandemic led to increased enthusiasm in computer-aided drug repurposing (51).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] Levin, 2020, Artificial intelligence, drug repurposing and peer review, Nat. Biotechnol. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBaricitinib was approved (in combination with remdesivir) on November 19 2020 by the US FDA for COVID-19 under the Emergency Use Authorization status.
“Baricitinib was approved (in combination with remdesivir) on November 19 2020 by the US FDA for COVID-19 under the Emergency Use Authorization status (https://bit.ly/3giFeN1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites https://bit.ly/3giFeN1
Not checked in the free run.
May combine two claims.
Study design and conductcitationThe new off-label use data set was documented using automatic searches in scientific literature and clinical trials data and compared to 209 approved indications and other OLUs indexed by DrugCentral for the same 40 drugs.
“The data set was documented thoroughly using automatic searches in the scientific literature and clinical trials data and compared to 209 approved indications and other off-label uses (OLUs) indexed by DrugCentral (for the same 40 drugs) (19).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Avram, 2022, Annotating off-label drug usage from unconventional sources source
Not checked in the free run.
The paper relies on this without support.
Off-patent status and similar molecular property profile distribution indicate that veterinary drugs may be viable candidates in animal drug repositioning programs.
“The high percentage of OFP drugs, and the similar molecular property profile distribution, suggest that veterinary drugs may be viable candidates in animal drug repositioning programs.”
The paper relies on this without support.
The absence of ADC and RNA drugs indicates that therapeutic modalities for animal use trail behind human medicines regarding innovation.
“The absence of ADC and RNA drugs suggests that therapeutic modalities for animal use trail behind human medicines regarding innovation.”
The paper relies on this without support.
Higher median activity values indicate increased potency.
“This trend suggests an increase in potency, in particular for novel drugs.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Although DrugCentral maps drug uses to existing terminologies like SNOMED-CT and MeSH, capturing therapeutic intent computationally is challenging.
“Although DrugCentral maps drug uses to existing terminologies like SNOMED-CT and MeSH, two global standards for health terms, capturing therapeutic intent computationally is challenging (48).”
From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [48]
The Web interface section (page unavailable) says DrugCentral supports drug-use searches through SNOMED-CT mappings. The Pharmacological classification section (page unavailable) reports MeSH mappings for drug classes, not specifically for drug uses. The Summary and future directions section says capturing veterinary extra-label uses is “not trivial,” but does not make the broader claim that computationally capturing therapeutic intent is challenging. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
FDA share of newly added drugs is misstated
MinorThe paper says 285 drugs were newly added. Of those, 255 is about 89.5%, not 73%.
Reported 73 · recomputed 89.473684
“Around 73% (255 drugs) of the newly added drugs received their first approval from FDA (including all veterinary drugs)”
Human-protein data points exceed all bioactivity data points
MinorAs printed in Table 1, the 2023 human-protein count, 13 9238, exceeds the total of 18 830 bioactivity data points.
“| Human proteins | 12 373 (1837) | 13 9238 (1982) | 1055 (179) |”
“| Bioactivity data points | 16 843 (2052) | 18 830 (2214) | 1628 (193) |”
Cites
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Weininger, D. (1988) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci00057a005 · Cited by 7,436 · see citing works
UniProt: the universal protein knowledgebase in 2021
The UniProt Consortium, Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Agivetova, R., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1100 · Cited by 6,372 · see citing works
UniProt: the universal protein knowledgebase
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DrugBank: a comprehensive resource for in silico drug discovery and exploration
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Medical error—the third leading cause of death in the US
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Self-citationChEMBL: towards direct deposition of bioassay data
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New approach for understanding genome variations in KEGG
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Baricitinib as potential treatment for 2019-nCoV acute respiratory disease
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A New, Evidence-based Estimate of Patient Harms Associated with Hospital Care
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Off-label prescribing among office-based physicians
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THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Introduction and Other Protein Targets
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Unexplored therapeutic opportunities in the human genome
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“According to the Target Development Level classification system of human proteins (31) adopted within the IDG consortium, 39 new targets were annotated as Tclin, i.”
BackgroundMethodSelf-citationTen common questions (and their answers) about off-label drug use
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Therapies for rare diseases: therapeutic modalities, progress and challenges ahead
Tambuyzer, E., Vandendriessche, B., Austin, C. P., Brooks, P. J., Larsson, K., Miller Needleman, K. I., Valentine, J., Davies, K., Groft, S. C., Preti, R., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0049-9 · Cited by 357 · see citing works
Self-citationDrugCentral: online drug compendium
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Self-citationErratum: Unexplored therapeutic opportunities in the human genome
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Self-citationPharos: collating protein information to shed light on the druggable genome
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Self-citationMoxidectin: an oral treatment for human onchocerciasis
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The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text
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US Food and Drug Administration
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DrugCentral 2021 supports drug discovery and repositioning
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Self-citationUniChem: a unified chemical structure cross-referencing and identifier tracking system
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TCRD and pharos 2021: mining the human proteome for disease biology
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Self-citationHarding, S. D., Armstrong, J. F., Faccenda, E., Southan, C., Alexander, S. P. H., Davenport, A. P., Pawson, A. J., Spedding, M., Davies, J. A., & NC-IUPHAR (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1010 · Cited by 149 · see citing works
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Self-citationAntibodypedia, a Portal for Sharing Antibody and Antigen Validation Data*S
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The major role of clinicians in the discovery of off-label drug therapies
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Adverse Events in Hospitalized Pediatric Patients
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Badapple: promiscuity patterns from noisy evidence
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Self-citationA Likelihood Ratio Test Based Method for Signal Detection With Application to FDA’s Drug Safety Data
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Artificial intelligence, drug repurposing and peer review
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Self-citationExpert-Augmented computational drug repurposing identified baricitinib as a treatment for COVID-19
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A structural analysis of the FDA green book-approved veterinary drugs and roles in human medicine
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Off-label drug information: regulation, distribution, evaluation, and related controversies.
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Medical Terminologies That Work: The Example of MeSH
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Self-citationAvram, S., Halip, L., Curpan, R., & Oprea, T. I. (2020) · Nature Reviews Drug Discovery · doi:10.1038/d41573-020-00052-w · Cited by 17 · cited 1× · see citing works
“The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year (some of the data overlap with Tabl…”
BackgroundSelf-citationWill the chemical probes please stand up?
Škuta, C., Southan, C., & Bartůněk, P. (2021) · RSC Medicinal Chemistry · doi:10.1039/d1md00138h · Cited by 16 · see citing works
Veterinary medicine and public health at CDC.
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Avram, S., Halip, L., Curpan, R., & Oprea, T. I. (2022) · Nature Reviews Drug Discovery · doi:10.1038/d41573-022-00057-7 · Cited by 15 · cited 1× · see citing works
“The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year (some of the data overlap with Tabl…”
BackgroundSelf-citationAvram, S., Halip, L., Curpan, R., & Oprea, T. I. (2021) · Nature Reviews Drug Discovery · doi:10.1038/d41573-021-00057-z · Cited by 13 · cited 1× · see citing works
“The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year (some of the data overlap with Tabl…”
BackgroundSelf-citationGetting Started with the IDG KMC Datasets and Tools
Kropiwnicki, E., Binder, J., Yang, J. J., Holmes, J., Lachmann, A., Clarke, D. J. B., Sheils, T. K., Kelleher, K. J., Metzger, V. T., Bologa, C., et al. (2022) · Current Protocols · doi:10.1002/cpz1.355 · Cited by 12 · see citing works
Self-citationPhenCards: a data resource linking human phenotype information to biomedical knowledge
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Annotating off-label drug usage from unconventional sources
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Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Marsboom, 1968, Ervaringen met azaperone (R1929*) als sedativum bij het varken, Tijdschr. Diergeneeskd., 93, 3
Cited by
Sorted by citations
Artificial Intelligence for Drug Discovery: Are We There Yet?
Hasselgren, C., & Oprea, T. I. (2024) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-040323-040828 · Cited by 236 · see citing works
“DrugCentral 2023 extends human clinical data and integrates veterinary drugs.”
BackgroundMethodInfluentialSelf-citation
- Authors
- Avram, S., Wilson, T. B., Curpan, R., Halip, L., Borota, A., Bora, A., Bologa, C. G., Holmes, J., Knockel, J., Yang, J. J., & Oprea, T. I.
- Affiliations
- Department of Computational Chemistry, “Coriolan Dragulescu” Institute of Chemistry , 24 Mihai Viteazu Blvd , Timişoara, Timiş 300223 , Romania
- University of New Mexico (US)
- Corresponding author
- Oprea, Tudor I
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-12-09
- Volume
- 51
- Issue
- D1
- Pages
- D1276-D1287
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC9825566
- OpenAlex
- W4310945327
- Semantic Scholar
- 9447ac9cc8e4596d1b7adcbca9ab33460c107ced
- Cited by
- 101
- References
- 57
- Citations by year
- 2026: 24 · 2025: 31 · 2024: 30 · 2023: 16
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (U24 CA224370)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Keywords
- drug information database, drug approval, veterinary therapeutics, off-label drug use, adverse drug reactions, pharmacovigilance, drug safety in children, SMILES, therapeutic target, UniProt, physicochemical properties, azaperone, ruxolitinib, JAK inhibitors
- MeSH terms
- Animals, Humans, Drug Approval, Veterinary Drugs, Off-Label Use, Drug-Related Side Effects and Adverse Reactions
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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