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DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis

Structural docking between the adaptive immune receptors (AIRs), including T cell receptors (TCRs) and B cell receptors (BCRs), and their cognate antigens are one of the most fundamental processes in adaptive immunity. However, current methods for predicting AIR-antigen binding largely rely on seque...

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Detalles Bibliográficos
Autores principales: Zhao, Yu, He, Bing, Xu, Fan, Li, Chen, Xu, Zhimeng, Su, Xiaona, He, Haohuai, Huang, Yueshan, Rossjohn, Jamie, Song, Jiangning, Yao, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411891/
https://www.ncbi.nlm.nih.gov/pubmed/37556545
http://dx.doi.org/10.1126/sciadv.abo5128