2023
DOI: 10.3390/pr11041296
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Computational Models That Use a Quantitative Structure–Activity Relationship Approach Based on Deep Learning

Abstract: In the toxicological testing of new small-molecule compounds, it is desirable to establish in silico test methods to predict toxicity instead of relying on animal testing. Since quantitative structure–activity relationships (QSARs) can predict the biological activity from structural information for small-molecule compounds, QSAR applications for in silico toxicity prediction have been studied for a long time. However, in recent years, the remarkable predictive performance of deep learning has attracted attenti… Show more

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