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Updated: Apr 9, 2026

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TwistDAN:用于合成可访问性评估的扭曲域对抗网络.

Qahtan Adnan Aljanabi1, Zhijian Huang1, Ziyu Fan1

  • 1School of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.

Journal of chemical information and modeling
|February 26, 2026
PubMed
概括

TwistDAN通过使用域对抗神经网络来改善合成可访问性预测,以便在各种化学库中更好地泛化. 这减少了药物发现中不必要的合成尝试.

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