Enhancing Toxicity Prediction of Synthetic Chemicals via Novel SMILES Fragmentation and Interpretable Deep Learning
Sign Up to like & getrecommendations! Published in 2025 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.5c01042
Abstract: Toxicity prediction and identification of structural alerts (SAs) for synthetic chemicals are critical for assessing risks to environmental and human health. Traditional methods, which rely heavily on molecular descriptors, often suffer from poor interpretability. Here,… read more here.
Keywords: deep learning; toxicity prediction; toxicity; smiles fragmentation ... See more keywords
Natural plant products as effective alternatives to synthetic chemicals for postharvest fruit storage management.
Sign Up to like & getrecommendations! Published in 2022 at "Critical reviews in food science and nutrition"
DOI: 10.1080/10408398.2022.2079112
Abstract: Fruits contain enormous source of vitamins that provides energy to the human body. These are also affluent in essential and vital vitamins, minerals, fiber, and health-promoting components, which has led to an increase in fruit… read more here.
Keywords: plant products; postharvest; fruit; synthetic chemicals ... See more keywords