Deep learning-based discovery of compounds for blood pressure lowering effects.

ABSTRACT: The hypotensive side effects caused by drugs during their use have been a vexing issue. Recent studies have found that deep learning can effectively predict the biological activity of compounds by mining patterns and rules in the data, providing a potential solution for identifying drug side effects. In this study, we established a deep learning-based predictive model, utilizing a data set comprised of compounds known to either elevate or lower blood pressure. Subsequently, the trained model was used to predict the blood pressure-lowering effects of 26,000 compounds. Based on the predicted results, we randomly selected 50 molecules for validation and compared them with literature reports. The results showed that the predictions for 30 molecules were consistent with literature reports, with

SUBMITTER: Li R 

PROVIDER: S-EPMC11697042 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature