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Updated: Jan 6, 2026

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PCF-VAE:为新的药物设计提供后部无崩变异自编码器

Arun Singh Bhadwal1, Monika Kumari2, Anil Kumar3

  • 1School of Computer Science Engineering and Technology, Bennett University, Plot No. 8-11, Techzone-II, Greater Noida, Uttar Pradesh, 201310, India.

Scientific reports
|October 1, 2025
PubMed
概括

本研究介绍了PCF-VAE,这是一种新的深度学习方法,通过解决变异自编码器的后部崩来增强分子生成,从而导致更多样化和有效的新型分子结构.

关键词:
有条件的VAE是有条件的多样性多样性多样性多样性这些都是GenSMILES的样本.有效性 有效性是有效性的.

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