Next Article in Journal
Ergot Alkaloids in Feed for Pekin Ducks: Toxic Effects, Metabolism and Carry Over into Edible Tissues
Next Article in Special Issue
Prevention of Aflatoxin B1-Induced DNA Breaks by β-D-Glucan
Previous Article in Journal
Food Contaminant Zearalenone and Its Metabolites Affect Cytokine Synthesis and Intestinal Epithelial Integrity of Porcine Cells
Article Menu

Export Article

Open AccessReview
Toxins 2015, 7(6), 1989-2005;

A Novel Peptide-Binding Motifs Inference Approach to Understand Deoxynivalenol Molecular Toxicity

Guelph Food Research Centre, Agriculture and Agri-Food Canada (AAFC), Guelph, ON N1G 5C9, Canada
Author to whom correspondence should be addressed.
Academic Editor: Marc Maresca
Received: 17 April 2015 / Revised: 26 May 2015 / Accepted: 26 May 2015 / Published: 2 June 2015
(This article belongs to the Special Issue Mycotoxins and Human Diseases 2015)
Full-Text   |   PDF [2007 KB, uploaded 2 June 2015]   |  


Deoxynivalenol (DON) is a type B trichothecene mycotoxin that is commonly detected in cereals and grains world-wide. The low-tolerated levels of this mycotoxin, especially in mono-gastric animals, reflect its bio-potency. The toxicity of DON is conventionally attributed to its ability to inhibit ribosomal protein biosynthesis, but recent advances in molecular tools have elucidated novel mechanisms that further explain DON’s toxicological profile, complementing the diverse symptoms associated with its exposure. This article summarizes the recent findings related to novel mechanisms of DON toxicity as well as how structural modifications to DON alter its potency. In addition, it explores feasible ways of expanding our understating of DON-cellular targets and their roles in DON toxicity, clearance, and detoxification through the utilization of computational biology approaches. View Full-Text
Keywords: deoxynivalenol; toxicity; modification; enzyme; computational biology deoxynivalenol; toxicity; modification; enzyme; computational biology

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Hassan, Y.I.; Watts, C.; Li, X.-Z.; Zhou, T. A Novel Peptide-Binding Motifs Inference Approach to Understand Deoxynivalenol Molecular Toxicity. Toxins 2015, 7, 1989-2005.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Toxins EISSN 2072-6651 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top