通过以任务为导向的转移学习增强分子性质预测:整合通用结构洞察力和特定领域的知识

Yanjing Duan1, Xixi Yang2, Xiangxiang Zeng2

  • 1Xiangya School of Pharmaceutical Sciences, Central South University, Changsha Hunan 410013, P. R. China.

概括

我们基于BERT (TOML-BERT) 开发了以任务为导向的多级学习,以改善药物发现中的分子性质预测. 这种方法通过整合结构模式和领域知识来增强深度学习,实现最先进的结果.

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