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Updated: Sep 18, 2025

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人工智能驱动的分子生成和生物活性预测:一种结合VAE,图形和基于语言的神经网络的多模型方法

Latefa Oulladji1, Mouna Saadallah1, Zakaria Guellil2

  • 1Evolutionary Engineering and Distributed Information Systems Laboratory, Djillali Liabes University, Department of Computer Science, Sidi Bel Abbes, 22000, Algeria.

Computational biology and chemistry
|June 23, 2025
PubMed
概括

本研究介绍了一种深度学习 (DL) 多模型,用于设计抗癌小分子并预测它们的生物活性. 这种新的方法加速了药物发现,与现有方法相比显示出更高的性能.

关键词:
抗癌分子是一种抗癌分子.生物活性的预测预测.深度学习是一种深度学习.药物生成 药物生成转移学习转移学习

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