Predicting prospective drug-like molecules quickly and accurately is a considerable challenge for de novo drug design. An interactome-based deep learning method has been developed that outperforms standard chemical language models.

中文翻译：

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采用基于交互组的深度学习设计


快速准确地预测潜在的药物样分子是 de novo 药物设计面临的一个相当大的挑战。已经开发了一种基于交互组的深度学习方法，其性能优于标准化学语言模型。