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Updated: Jul 6, 2025

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通过合成进化和机器学习推进抗体工程

Edward B Irvine¹, Sai T Reddy¹

¹Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.

Journal of immunology (Baltimore, Md. : 1950)

|January 2, 2024

概括

抗体 (Abs) 是一种多功能疗法. 先进的工程和机器学习加速了用于药物开发和传染病治疗的合成抗体的设计.

科学领域:

生物技术是生物技术.
蛋白质工程是指蛋白质工程.
免疫学免疫学免疫学

背景情况:

抗体 (Abs) 是关键的治疗分子,具有高的向结合亲和力和有利的生物物理性质.
合成抗体的发现和工程已经被蛋白质显示和定向进化系统彻底改变.
高通量查,深度测序和机器学习正在增强体外抗体优化.

结论:

通过综合实验和计算方法,合成抗体工程正在迅速发展.
机器学习有望克服治疗挑战,特别是在传染病方面.
未来的抗体设计可以由人工智能指导,以创建针对不断演变的病原体的强大的治疗方法.

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Hybridoma Technology

Hybridoma Technology

Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...