DG-Affinity: predicting antigen-antibody affinity with language models from sequences.

ABSTRACT:

Background

Antibody-mediated immune responses play a crucial role in the immune defense of human body. The evolution of bioengineering has led the progress of antibody-derived drugs, showing promising efficacy in cancer and autoimmune disease therapy. A critical step of this development process is obtaining the affinity between antibodies and their binding antigens.

Results

In this study, we introduce a novel sequence-based antigen-antibody affinity prediction method, named DG-Affinity. DG-Affinity uses deep neural networks to efficiently and accurately predict the affinity between antibodies and antigens from sequences, without the need for structural information. The sequences of both the antigen and the antibody are first transformed into embedding vectors by two pre-trai

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC10644518 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature