ArticleEnvironmental science & technology2025
A Transformer-Based Deep Learning Approach to Predicting Air Organic Pollutant-Human Protein Interactions.
Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Air pollution poses a critical global public health challenge. Molecular-level initiating events, such as pollutant-protein interactions, can trigger cascades of biological responses that may contribute to adverse health effects. However, current methods are limited in their ability to systematically identify these early binding events, particularly for emerging airborne pollutants, which hinders mechanistic understanding and risk assessment of pollution-related toxicity. To address this, we developed
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