基于折叠的端到端化学药物设计与不确定性估计:在后GPT时代解决幻觉

Feisheng Zhong1, Rongcai Yue1, Jinxing Chen1,2

  • 1Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.

PubMed
概括

拉玛-格拉姆通过整合蛋白质折叠和图形表示来提高AI药物发现,以准确预测分子相互作用. 这种新的框架解决了传统模型的局限性,加速了新药的开发.

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