Scientists are using advanced computer programs to design better therapeutic antibodies. These antibodies are crucial for treating various diseases, but sometimes, the patient’s body sees them as foreign and attacks them. Researchers modified antibody structures using a special computer platform, making them look more like human antibodies to avoid triggering the immune system. They also used simulations to predict how these changes would affect the antibody’s ability to bind to its target. The study shows that while these computational tools can help improve the antibodies, it’s a complex process to balance making them more human-like and ensuring they still work effectively. This research helps pave the way for developing safer and more effective antibody treatments.
เงินทุน
This research was supported by CMU Proactive Researcher, 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])