ArticleNucleic acids research2009
SuperToxic: a comprehensive database of toxic compounds.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Synthesis, docking, SAR and ADMET evaluation of novel pyrrolo[3,4-c]pyrazole-4,6-dione derivatives.Scientific reports · 2026Article
- Computational toxicology in drug discovery: applications of artificial intelligence in ADMET and toxicity prediction.Briefings in bioinformatics · 2025Review
- AllergyPred: a web server for allergen prediction.Nucleic acids research · 2025Article
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- ProTox 3.0: a webserver for the prediction of toxicity of chemicals.Nucleic acids research · 2024Article
- Phytochemical Volatiles as Potential Bionematicides with Safer Ecotoxicological Properties.Toxics · 2024Article
- Molecular modeling and simulations of some antiviral drugs, benzylisoquinoline alkaloid, and coumarin molecules to investigate the effects on Mpro main viral protease inhibition.Biochemistry and biophysics reports · 2023Article
- TOXRIC: a comprehensive database of toxicological data and benchmarks.Nucleic acids research · 2023Article
- Review
- NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism.eLife · 2021Article
- Computational Approaches in Preclinical Studies on Drug Discovery and Development.Frontiers in chemistry · 2020Review
- eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates.BMC pharmacology & toxicology · 2019Article
- Use of big data in drug development for precision medicine: an update.Expert review of precision medicine and drug development · 2019Article
- Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis.International journal of molecular sciences · 2018Review
- ProTox-II: a webserver for the prediction of toxicity of chemicals.Nucleic acids research · 2018Article
- Identification of Estrogen ReceptorOxidative medicine and cellular longevity · 2018Article
- Review
- Article
- bioassayR: Cross-Target Analysis of Small Molecule Bioactivity.Journal of chemical information and modeling · 2016Article
- Many InChIs and quite some feat.Journal of computer-aided molecular design · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Within our everyday life, we are confronted with a variety of toxic substances of natural or artificial origin. Toxins are already used, e.g. in medicine, but there is still an increasing number of toxic compounds, representing a tremendous potential to extract new substances. Since predictive toxicology gains in importance, the careful and extensive investigation of known toxins is the basis to assess the properties of unknown substances. In order to achieve this aim, we have collected toxic compounds from literature and web sources in the database SuperToxic. The current version of this database compiles about 60,000 compounds and their structures. These molecules are classified according to their toxicity, based on more than 2 million measurements. The SuperToxic database provides a variety of search options like name, CASRN, molecular weight and measured values of toxicity. With the aid of implemented similarity searches, information about possible biological interactions can be gained. Furthermore, connections to the Protein Data Bank, UniProt and the KEGG database are available, to allow the identification of targets and those pathways, the searched compounds are involved in. This database is available online at: http://bioinformatics.charite.de/supertoxic.
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.