可解释的机器学习和深度学习模型用于预测TAS2R-bitter分子相互作用

Francesco Ferri1, Marco Cannariato2, Lorenzo Pallante2

  • 1Politecnico di Torino, Polito(BIO)MedLab, Department of Mechanical and Aerospace Engineering, Torino, 10129, Italy; TUM School of Life Sciences Weihenstephan, Technical University of Munich, Alte Akademie 8, 85354, Freising, Germany.

概括

这项研究开发了机器学习和深度学习模型,以预测苦味分子与味道受体2型 (TAS2R) 受体的相互作用. 这些可解释的AI模型有助于理解苦味,并为药物发现设计有针对性的苦味化合物.

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