In Silico Prediction of Chemical Acute Dermal Toxicity Using Explainable Machine Learning Methods.
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DOI: 10.1021/acs.chemrestox.4c00012
Abstract: The research on acute dermal toxicity has consistently been a crucial component in assessing the potential risks of human exposure to active ingredients in pesticides and related plant protection products. However, it is difficult to… read more here.
Keywords: prediction; dermal toxicity; acute dermal; machine learning ... See more keywords
Assessment of dermal safety of oil extracted from Periplaneta americana: acute dermal toxicity, irritation, and sensitization
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DOI: 10.1080/15569527.2020.1769126
Abstract: Abstract Introduction The American cockroach (Periplaneta americana) is used in traditional Chinese medicine. Periplaneta americana (P. americana) is rich in oil that has shown potential antioxidant and antibacterial activities in vitro. Objective To evaluate the… read more here.
Keywords: acute dermal; periplaneta americana; irritation; toxicity ... See more keywords
GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remapping
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DOI: 10.1093/bioinformatics/btae438
Abstract: Abstract Motivation Accurate prediction of acute dermal toxicity (ADT) is essential for the safe and effective development of contact drugs. Currently, graph neural networks, a form of deep learning technology, accurately model the structure of… read more here.
Keywords: view; structure; dermal toxicity; acute dermal ... See more keywords