GeoGAD:对相补性确定区域精密工程的几何感知抗体设计框架
Songjian Wei1, Jinxiong Zhang1,2, Yan Chen1,2
1School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi 530004, China.
Bioinformatics (Oxford, England)
|January 25, 2026
概括
通过精确建模互补性确定区域 (CDR) 的几何约束,GeoGAD增强了抗体设计. 这种几何意识框架改善了抗体序列结构共建和治疗应用的亲和力优化.
科学领域:
- 计算生物学是一种计算生物学.
- 免疫信息学是指免疫信息学.
- 蛋白质工程是一种蛋白质工程.
背景情况:
- 抗体对免疫反应至关重要,通过通过互补性决定区域 (CDR) 通过抗原结合中和病原体.
- 当前的CDR设计方法与几何约束,多尺度空间关系和形态表示作斗争,限制了预测准确性.
- 精确的抗体设计对于开发有效的诊断和治疗方法至关重要.
研究的目的:
- 介绍GeoGAD,一个新的几何感知抗体设计框架.
- 解决现有的抗体设计方法的局限性,特别是对CDRs的几何和形状方面的建模.
- 提高用于治疗目的的计算抗体设计的准确性和效率.
主要方法:
- 开发了GeoGAD,结合了用于几何灵敏度的旋转定位编码.
- 集成了一个使用动态消息传递和自适应边缘改进的几何意识模块.
- 采用高斯注意力机制与边缘类型敏感的空间高斯内核用于长距离序列依赖模型.
- 利用多边缘类型的坐标优化,以实现精确的空间特征集成.
主要成果:
- 在抗体序列结构联合建模,CDR设计和亲和度优化方面,GeoGAD在与最先进的模型相比显示出优越或可比的性能.
- 实现了高氨基酸回收率 (AAR) 和卓越的结构精度 (RMSD,TM-score).
- 该框架有效地模拟了远程序列依赖性,同时专注于关键的局部残留物.
结论:
- GeoGAD为先进的抗体设计提供了一个几何一致的框架.
- 增强的CDR几何模型显著提高了抗体设计精度.
- 这一框架对下一代治疗抗体的计算设计具有前景.
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