通过联合构造格局和序列优化来实现稳定的de novo蛋白质设计
Yehlin Cho1, Justas Dauparas2, Kotaro Tsuboyama3,4
1Massachusetts Institute of Technology, Cambridge, MA, USA.
Nature communications
|December 24, 2025
概括
联合优化蛋白质序列和结构建模可以改善蛋白质的设计. 这种方法增强了稳定性预测,并产生了有利于更好的折叠的有利于水友互动的序列.
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.
- 结构生物信息学 结构生物信息学
背景情况:
- 生成性蛋白质建模为设计蛋白质序列和结构提供了工具.
- 准确地建模蛋白质构造格局,并设计稳定折叠的序列,仍然是一个挑战.
研究的目的:
- 系统地分析序列对结构和结构对序列映射的联合优化.
- 开发用于蛋白质构造景观建模和序列设计的改进方法.
主要方法:
- 开发和分析了序列和结构建模的联合优化方法.
- 使用大规模蛋白质稳定性测量验证了该方法.
- 利用像TrRosetta和TrMRF这样的联合模型,并将ESMFold pLDDT与ESM2伪概率结合起来.
主要成果:
- 关节优化在设计稳定的蛋白质和高准确度预测稳定性方面被证明是优越的.
- 由联合模型生成的序列显示了水友相互作用的增加.
- 这些相互作用可能有助于维持二次结构和配对特征.
结论:
- 联合优化为生成性蛋白质的建模和设计提供了一种优越的策略.
- 这些发现提升了设计具有可预测形状的稳定蛋白质的能力.
- 这项研究强调了全面考虑序列结构相互作用的重要性.
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