Prediction of antibody-antigen interaction based on backbone aware with invariant point attention.

ABSTRACT:

Background

Antibodies play a crucial role in disease treatment, leveraging their ability to selectively interact with the specific antigen. However, screening antibody gene sequences for target antigens via biological experiments is extremely time-consuming and labor-intensive. Several computational methods have been developed to predict antibody-antigen interaction while suffering from the lack of characterizing the underlying structure of the antibody.

Results

Beneficial from the recent breakthroughs in deep learning for antibody structure prediction, we propose a novel neural network architecture to predict antibody-antigen interaction. We first introduce AbAgIPA: an antibody structure prediction network to obtain the antibody backbone structure, where the structural feat

SUBMITTER: Gu M 

PROVIDER: S-EPMC11542381 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature