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Unraveling the Carcinogenic Mechanisms of Food contaminants through Network Toxicology, Machine Learning, and Molecular Docking

2025-05-28

Abstract excerpt

<title>Abstract</title> <p>Food contamination is a significant global health threat, with carcinogenic potential, yet the molecular pathways linking contaminants to cancer remain poorly understood. This study aimed to identify key molecular targets mediating the carcinogenic effects of food contaminants. We utilized multiple online databases to identify target genes associated with nine prevalent dietary contamin...

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Literature Corpus work
2693ac57-7d45-558c-988b-a0fced0f2b04
DOI
10.21203/rs.3.rs-6625099/v1
Open publication

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