» Articles » PMID: 19004875

SuperToxic: a Comprehensive Database of Toxic Compounds

Overview
Specialty Biochemistry
Date 2008 Nov 14
PMID 19004875
Citations 28
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Overview and limitations of database in global traditional medicines: A narrative review.

Li X, Zhang J, Shen X, Zhang Y, Guo D Acta Pharmacol Sin. 2024; 46(2):235-263.

PMID: 39095509 PMC: 11747326. DOI: 10.1038/s41401-024-01353-1.


Phytochemical Volatiles as Potential Bionematicides with Safer Ecotoxicological Properties.

Cavaco T, Faria J Toxics. 2024; 12(6).

PMID: 38922086 PMC: 11209200. DOI: 10.3390/toxics12060406.


ProTox 3.0: a webserver for the prediction of toxicity of chemicals.

Banerjee P, Kemmler E, Dunkel M, Preissner R Nucleic Acids Res. 2024; 52(W1):W513-W520.

PMID: 38647086 PMC: 11223834. DOI: 10.1093/nar/gkae303.


Molecular modeling and simulations of some antiviral drugs, benzylisoquinoline alkaloid, and coumarin molecules to investigate the effects on Mpro main viral protease inhibition.

Mir S, Meher R, Nayak B Biochem Biophys Rep. 2023; 34:101459.

PMID: 36987522 PMC: 10037929. DOI: 10.1016/j.bbrep.2023.101459.


Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point.

Cavasotto C, Scardino V ACS Omega. 2023; 7(51):47536-47546.

PMID: 36591139 PMC: 9798519. DOI: 10.1021/acsomega.2c05693.


References
1.
Crown J, OLeary M, Ooi W . Docetaxel and paclitaxel in the treatment of breast cancer: a review of clinical experience. Oncologist. 2004; 9 Suppl 2:24-32. DOI: 10.1634/theoncologist.9-suppl_2-24. View

2.
Solomkin J, Miyagawa C . Principles of antibiotic therapy. Surg Clin North Am. 1994; 74(3):497-517. View

3.
Waters M, Stasiewicz S, Merrick B, Tomer K, Bushel P, Paules R . CEBS--Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data. Nucleic Acids Res. 2007; 36(Database issue):D892-900. PMC: 2238989. DOI: 10.1093/nar/gkm755. View

4.
Langtry H, Wilde M . Omeprazole. A review of its use in Helicobacter pylori infection, gastro-oesophageal reflux disease and peptic ulcers induced by nonsteroidal anti-inflammatory drugs. Drugs. 1998; 56(3):447-86. DOI: 10.2165/00003495-199856030-00012. View

5.
Wullenweber A, Kroner O, Kohrman M, Maier A, Dourson M, Rak A . Resources for global risk assessment: the International Toxicity Estimates for Risk (ITER) and Risk Information Exchange (RiskIE) databases. Toxicol Appl Pharmacol. 2008; 233(1):45-53. DOI: 10.1016/j.taap.2007.12.035. View