基于可变自编码器的化学潜伏空间,用于具有3D复杂性的大型分子结构

Toshiki Ochiai1, Tensei Inukai1, Manato Akiyama1

  • 1Department of Biosciences and Informatics, Keio University, Yokohama, Kanagawa, 223-8522, Japan.

Communications chemistry
|November 17, 2023
PubMed
概括

我们开发了NP-VAE,这是一种深度学习方法,用于分析复杂的化学结构并生成新药候选物. 这种方法有效地管理大型数据集,并优化药物发现的复合功能.

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