Scientists have been working to improve therapeutic antibodies, which are important tools for treating diseases like cancer and autoimmune disorders. A key challenge is making these antibodies less likely to be rejected by the patient’s immune system. In this study, researchers used a computer-based approach to modify the structure of an antibody to make it look more like a human antibody. They then used other computer simulations to check if these changes would affect how well the antibody binds to its target. The results showed that while they could improve how human-like the antibody was, this sometimes came at the cost of reducing its ability to bind effectively. This highlights the delicate balance scientists must strike when designing therapeutic antibodies.
เงินทุน
This research was supported by Chiang Mai University and Fundamental Fund 2024.
กระดาษต้นฉบับ
ชื่อบทความต้นฉบับ: Plasticity of BioPhi-driven humanness optimization in ScFv-CD99 binding affinity validated through AlphaFold, HADDOCK, and MD simulations.
วารสาร: Computational and Structural Biotechnology Journal
ดอย: https://doi.org/10.1016/j.csbj.2025.01.001
จดหมายโต้ตอบ
- Kanokporn Sornsuwan ([email protected])
- Thanathat Pamonsupornwichit ([email protected])
- On-anong Juntit ([email protected])
- Weeraya Thongkum ([email protected])
- Nuchjira Takheaw ([email protected])
- Kanchanok Kodchakorn ([email protected])
- Chatchai Tayapiwatana ([email protected])