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Artificial Intelligence in Decrypting Cytoprotective Activity under Oxidative Stress from Molecular Structure

Damian Nowak1, Karolina Babijczuk2, La Ode Irman Jaya3

  • 1Department of Quantum Chemistry, Faculty of Chemistry, Adam Mickiewicz University in Poznan, Uniwersytetu Poznanskiego 8, 61-614 Poznan, Poland.

International Journal of Molecular Sciences
|July 29, 2023
PubMed
Summary

Artificial intelligence (AI) enhances quantitative structure-activity relationship (QSAR) studies by predicting cytoprotective activity for novel indole compounds. This AI system generates new molecular structures with validated predictive capabilities for oxidative stress conditions.

Keywords:
antioxidant propertiesartificial intelligenceindole derivativesmachine learning

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