ReviewDrug safety2003
Drug Adverse Reaction Target Database (DART) : proteins related to adverse drug reactions.
Review in Drug safety, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 64 citations in OpenAlex.
- Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data.Scientific reports · 2024Article
- The Transporter-Mediated Cellular Uptake and Efflux of Pharmaceutical Drugs and Biotechnology Products: How and Why Phospholipid Bilayer Transport Is Negligible in Real Biomembranes.Molecules (Basel, Switzerland) · 2021Review
- Review on Databases and Bioinformatic Approaches on Pharmacogenomics of Adverse Drug Reactions.Pharmacogenomics and personalized medicine · 2021Review
- Improving inverse docking target identification with Z-score selection.Chemical biology & drug design · 2019Article
- Review
- ADReCS-Target: target profiles for aiding drug safety research and application.Nucleic acids research · 2018Article
- Docking-based inverse virtual screening: methods, applications, and challenges.Biophysics reports · 2018Review
- Comparison of Quantitative and Qualitative (Q)SAR Models Created for the Prediction of KFrontiers in pharmacology · 2018Article
- Large-scale identification of adverse drug reaction-related proteins through a random walk model.Scientific reports · 2016Article
- SM-TF: A structural database of small molecule-transcription factor complexes.Journal of computational chemistry · 2016Article
- Multi-algorithm and multi-model based drug target prediction and web server.Acta pharmacologica Sinica · 2014Article
- Network characteristic analysis of ADR-related proteins and identification of ADR-ADR associations.Scientific reports · 2013Article
- Article
- Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome--clozapine-induced agranulocytosis as a case study.PLoS computational biology · 2011Article
- Kinase inhibition-related adverse events predicted from in vitro kinome and clinical trial data.Journal of biomedical informatics · 2010Article
- Article
- SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome.Nucleic acids research · 2009Article
- Harvesting candidate genes responsible for serious adverse drug reactions from a chemical-protein interactome.PLoS computational biology · 2009Article
- PharmGED: Pharmacogenetic Effect Database.Nucleic acids research · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An adverse drug reaction (ADR) often results from interaction of a drug or its metabolites with specific protein targets important in normal cellular function. Knowledge about these targets is both important in facilitating the study of the mechanisms of ADRs and in new drug discovery. It is also useful in the development and testing of rational drug design and safety evaluation tools. The Drug Adverse Reaction Database (DART) is intended to provide comprehensive information about adverse effect targets of drugs described in the literature. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as ADR targets are also included as potential targets. This database gives physiological function of each target, binding drugs/agonists/antagonists/activators/inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. The database currently contains entries for 147 ADR targets and 89 potential targets. A total of 187 adverse reaction conditions, 257 drugs, and 1080 ligands known to bind to each of these targets are also currently described. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. This database can be accessed at http://xin.cz3.nus.edu.sg/group/drt/dart.asp.
Indexed as
Identifiers
What OpenQuestion holds
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.