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计算机辅助技术用于生物活性蛋白质设计和临床应用

Chufan Wang¹, Yeyun Chen^2,3, Lei Ren^1,4

¹Key Laboratory of Biomedical Engineering of Fujian Province University/Research Center of Biomedical Engineering of Xiamen, Department of Biomaterials, College of Materials, Xiamen University, Xiamen, 361005, P. R. China.

Macromolecular bioscience

|April 22, 2025

概括

计算机辅助蛋白质设计 (CAPD) 利用人工智能进行增强的蛋白质治疗,优化药物特性和疫苗抗原. 未来的进展有望彻底改变药物开发和个性化医学.

科学领域:

生物技术是生物技术.
计算生物学计算生物学
蛋白质工程是指蛋白质工程.

背景情况:

计算机辅助蛋白质设计 (CAPD) 整合了计算能力和深度学习以了解蛋白质.
CAPD技术对于开发基于蛋白质的治疗方法至关重要,包括抗体,药物,抗原和聚合物.

研究的目的:

提供CAPD技术及其在治疗开发中的应用的全面审查.
突出深度学习和生成模型在增强蛋白质特性中的作用.

主要方法:

审查主要的CAPD方法,重点关注基于深度学习的预测和生成模型.
分析CAPD在单克隆抗体,蛋白质药物,抗原和蛋白质聚合物中的应用.

主要成果:

深度学习方法显著改善蛋白质与药物结合的亲和力,特异性,并降低免疫性.
CAPD优化了疫苗抗原设计,增强了蛋白质的稳定性,并使定制的蛋白质聚合物用于药物输送.

结论:

虽然CAPD面临着过度配合和有限数据等挑战,但它正在推进蛋白质工程.
持续的计算进步和合作将克服障碍,改变药物开发,个性化医学和生物技术.

关键词:

生物活性蛋白质是一种生物活性蛋白质.计算机辅助蛋白质设计深度学习是一种深度学习.

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