Initial Development of Automated Machine Learning-Assisted Prediction Tools for Aryl Hydrocarbon Receptor Activators

• Main Authors: Paulina Anna Wojtyło (Author), Natalia Łapińska (Author), Lucia Bellagamba (Author), Emidio Camaioni (Author), Aleksander Mendyk (Author), Stefano Giovagnoli (Author)
• 格式: 图书
• 出版: MDPI AG, 2024-11-01T00:00:00Z.
• 主题: article
• 在线阅读: Connect to this object online.

<b>Background</b>: The aryl hydrocarbon receptor (AhR) plays a crucial role in immune and metabolic processes. The large molecular diversity of ligands capable of activating AhR makes it impossible to determine the structural features useful for the design of new potent modulators. Thus,...