Computational Modeling of Antibody-Antigen Complexes: PLM-Based and MSA-Based Approaches
Antibodies play a central role in the immune response by specifically recognizing and neutralizing antigens, and therapeutic antibodies have become major drugs for cancer and autoimmune diseases. However, their discovery still relies on extensive in vitro screening, and accurate computational modeling of antibody structures and antibody-antigen interactions can prioritize candidates, reduce experimental burden, and accelerate rational design. Despite recent advances in high-accuracy protein and complex prediction, a persistent performance gap remains for antibody-related tasks compared with general protein-protein interactions, limiting downstream design. This thesis investigates why anti...
| Authors | Xiao Luo |
|---|---|
| Primary category | q-bio.QM |
| Published | 27 May 2026 |
| Last updated at source | 27 May 2026 |
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