DivPro:多样化的蛋白质序列设计,具有直接的结构恢复指导
Xinyi Zhou1, Guibao Shen2, Yingcong Chen2,3
1Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Bioinformatics (Oxford, England)
|July 15, 2025
概括
"DivPro"可以生成多样化的蛋白序列,这些蛋白序列折叠成目标结构. 这种深度学习模型提高了序列的多样性,同时保持了结构完整性,超过了现有的方法.
科学领域:
- 计算生物学是一种计算生物学.
- 蛋白质工程是一种蛋白质工程.
- 生物信息学是一种生物信息学.
背景情况:
- 基于结构的蛋白质设计旨在创建具有所需结构和功能的新型蛋白质.
- 当前的深度学习方法通常依赖于序列恢复指标,忽视序列结构模两可,限制多样性.
- 这种局限性在设计远程同源蛋白质时尤为明显.
研究的目的:
- 开发一个模型,DivPro,产生各种蛋白质序列,能够折叠成指定的结构.
- 解决现有方法在产生多种序列的局限性,同时保持结构完整性.
主要方法:
- DivPro学习了一个概率序列空间,允许对给定的结构采样各种序列.
- 它将in silico蛋白质结构预测结果用于培训指导,确保序列结构可靠性.
- 该模型在三个序列设计基准上进行了评估,使用结构预测工具,如AlphaFold2.2.
主要成果:
- 与现有方法相比,DivPro显著提高了序列多样性.
- 该模型保持高结构恢复,确保设计的序列折叠到目标结构.
- 实验结果验证了DivPro在多个基准的有效性.
结论:
- 通过平衡序列多样性和结构精度,DivPro为蛋白质设计提供了进步.
- 概率方法克服了深度学习模型中固定序列表示的局限性.
- 这种方法对设计具有新功能和改进性质的蛋白质具有前景.
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