AbImmPred: An immunogenicity prediction method for therapeutic antibodies using AntiBERTy-based sequence features.

ABSTRACT: Due to the unnecessary immune responses induced by therapeutic antibodies in clinical applications, immunogenicity is an important factor to be considered in the development of antibody therapeutics. To a certain extent, there is a lag in using wet-lab experiments to test the immunogenicity in the development process of antibody therapeutics. Developing a computational method to predict the immunogenicity at once the antibody sequence is designed, is of great significance for the screening in the early stage and reducing the risk of antibody therapeutics development. In this study, a computational immunogenicity prediction method was proposed on the basis of AntiBERTy-based features of amino sequences in the antibody variable region. The AntiBERTy-based sequence features were first calcula

SUBMITTER: Wang H 

PROVIDER: S-EPMC10889861 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature