GRAPE:图形规范化蛋白质语言建模解锁了TCR-表位组结合特异性

Xiangzheng Fu1,2, Li Peng3, Haowen Chen4

  • 1Institute of Artificial Intelligence Application, College of Computer and Information Engineering, Central South University of Forestry and Technology, No. 498 Shaoshan South Road, Tianxin District, Changsha, Hunan 410004, China.

PubMed
概括

通过整合图表规范化和不平衡感知学习,GRAPE增强了T细胞受体 (TCR) -表皮质结合预测. 这种新的框架通过解决当前图形神经网络模型的局限性来提高免疫疗法的准确性.

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