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

2022-10-03

Abstract excerpt

Structural docking between the adaptive immune receptors (AIRs), including T cell receptors (TCRs) and B cell receptors (BCRs), and their cognate antigens is one of the most fundamental processes in adaptive immunity. However, current methods for predicting AIR-antigen binding largely rely on sequence-derived features of AIRs, omitting the structure features that are essential for binding affinity. In this study,...

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Literature Corpus work
b768ac3c-eb76-5fa4-a56c-836a43c4c50c
DOI
10.1101/2022.09.30.510251
Open publication

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DeepAIR: a deep-learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysisDOI 10.1101/2022.09.30.510251
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