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

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

<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,...

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Main Authors: Paulina Anna Wojtyło (Author), Natalia Łapińska (Author), Lucia Bellagamba (Author), Emidio Camaioni (Author), Aleksander Mendyk (Author), Stefano Giovagnoli (Author)
Format: Book
Published: MDPI AG, 2024-11-01T00:00:00Z.
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