five

Kong2022 - Conditional Antibody Design as 3D Equivariant Graph Translation

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.omicsdi.org/dataset/biomodels/BIOMD0000001070
下载链接
链接失效反馈
官方服务:
资源简介:
Multi-channel Equivariant Attention Network (MEAN) to co-design 1D sequences and 3D structures of CDRs. To be specific, MEAN formulates antibody design as a conditional graph translation problem by importing extra components including the target antigen and the light chain of the antibody. Then, MEAN resorts to E(3)-equivariant message passing along with a proposed attention mechanism to better capture the geometrical correlation between different components. Finally, it outputs both the 1D sequences and 3D structure via a multi-round progressive full-shot scheme, which enjoys more efficiency and precision against previous autoregressive approaches.
创建时间:
2023-05-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作