智能聚合框架 (SAF):用于揭示原子重要性排名和提高药物发现预测率的智能聚合框架

Ronen Taub1, Yonatan Savir1

  • 1Department of Physiology, Biophysics & Systems Biology, Medicine Faculty, Technion IIT, Haifa 3525422, Israel.

概括

这项研究引入了一种用于药物发现中的图形神经网络的新型加权聚合方法. 它增强了抗生素活性预测,并为可解释的机器学习模型提供了受管制的注意力机制.

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