ArticleNucleic acids research2026
VARIDT 4.0: distribution variability of drug transporters.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- A Simple and Robust MRI Radiomics Feature for Predicting Pathological Complete Response: A Proof-of-Concept Study in Breast Cancer Neoadjuvant Chemotherapy.Cancer reports (Hoboken, N.J.) · 2026Article
- A Chemical-Genetic Interaction Matrix Reveals Drug Mechanism and Genetic Architecture.bioRxiv : the preprint server for biology · 2026Article
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The multilevel distribution variability of drug transporters-from tissues to cells and organelles-is critical for understanding drug response, drug-drug interactions, and multidrug resistance. The absorption, dispersion, metabolism, and excretion properties of drugs are codetermined by these multilevel distribution patterns, including tissue-specific expression, cellular heterogeneity, and subcellular localization. However, a public database that systematically integrates these crucial data of drug transporter distribution variability has been lacking. Therefore, in this major update, VARIDT 4.0 was developed to provide a comprehensive resource, incorporating 25 797 tissue-level expression profiles, 451 830 cell-level expression records, and 1034 subcellular localization entries. Additionally, the foundational modules on general, structural, and regulatory variability were extensively updated. This multilevel variability data is highly relevant to the transport of 889 approved and 221 clinical trial drugs, as well as 689 endogenous metabolites, implicated in the treatment of 558 diseases. Furthermore, by integrating these new distribution layers with its existing data, VARIDT 4.0 now enables comprehensive consideration of how a transporter's function is modulated by its specific spatiotemporal context. Overall, VARIDT 4.0 is expected to be a valuable data repository for system pharmacology, serving as an essential complement to existing pharmaceutical databases, and is freely accessible without login at https://idrblab.org/varidt/.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.