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Predictive Protein Toxicity and Its Use in Risk Assessment
Niccolò Franceschi1, Konstantinos Paraskevopoulos1, Elisabeth Waigmann1
1European Food Safety Authority (EFSA), Via Carlo Magno 1A, 43126 Parma, Italy.
Trends in Biotechnology
|April 20, 2017
Summary
Identifying molecular features of novel proteins can predict toxicity in food and feed, aiding human and animal risk assessment in the EU. This advance supports safer food and feed evaluations.
Area of Science:
- Food safety
- Toxicology
- Protein science
Background:
- Novel proteins are increasingly used in food and animal feed within the European Union.
- Regulatory bodies require rigorous assessment of potential toxic effects in humans and livestock.
- Current toxicity assessments can be resource-intensive.
Purpose of the Study:
- To explore the potential for identifying specific molecular features of proteins that correlate with toxicity.
- To advance the development of predictive models for protein toxicity assessment.
- To enhance the efficiency and accuracy of risk assessment for novel proteins.
Main Methods:
- Analysis of protein structures and sequences.
- In silico and in vitro toxicity screening methods.
- Bioinformatic approaches to identify toxicity-associated molecular patterns.
Main Results:
- Preliminary identification of distinct molecular signatures potentially linked to protein toxicity.
- Demonstration of a correlation between specific structural motifs and observed toxic effects.
- Development of a framework for predictive toxicity assessment based on molecular features.
Conclusions:
- Discovery of molecular features linked to protein toxicity is feasible.
- This approach represents a significant step towards predictive protein toxicity assessment.
- Potential to improve the safety evaluation of novel proteins in food and feed.
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