GDMol:用于分子性质预测的生成式双覆盖自我监督学习

Yingxu Liu1, Qing Fan1, Chengcheng Xu1

  • 1School of Science, China Pharmaceutical University, Nanjing, 210009, China.

Molecular informatics
|October 24, 2024
PubMed
概括

这项研究介绍了GDMol,一种生成的双掩盖自我监督的学习模型,用于增强分子性质预测. 为了更准确的药物发现洞察,GDMol捕获全球分子信息.

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