可预训练的几何图形神经网络用于抗体亲和力成熟

Huiyu Cai1,2,3, Zuobai Zhang2,3, Mingkai Wang4,5

  • 1BioGeometry, Beijing, China.

Nature communications
|September 6, 2024
PubMed
概括

这项研究介绍了GearBind,这是一种新的几何深度学习模型,用于增强抗体结合亲和力. GearBind成功地改善了在体中的抗体-抗原相互作用,证明了其在抗体治疗开发方面的潜力.

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