Accurate prediction of antibody function and structure using bio-inspired antibody language model.

ABSTRACT: In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, particularly viral infections. However, their development has been hindered by limited structural information and labor-intensive engineering processes. Fortunately, significant advancements in deep learning methods have facilitated the precise prediction of protein structure and function by leveraging co-evolution information from homologous proteins. Despite these advances, predicting the conformation of antibodies remains challenging due to their unique evolution and the high flexibility of their antigen-binding regions. Here, to address this challenge, we present the Bio-inspired Antibody Language Model (BALM). This model is trained on a vast dataset comprising 336 million 40% nonredundant

SUBMITTER: Jing H 

PROVIDER: S-EPMC11128484 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature