category
PNAS
date
Feb 18, 2026
slug
status
Published
summary
创新性地结合NMR化学位移数据与重加权算法,显著提升固有无序蛋白构象系综的预测精度,突破传统方法对动态构象区域表征的局限性。
tags
蛋白质组学
测序技术
type
Post

📄 原文题目

Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts

🔗 原文链接

💡 AI 核心解读

创新性地结合NMR化学位移数据与重加权算法,显著提升固有无序蛋白构象系综的预测精度,突破传统方法对动态构象区域表征的局限性。

📝 英文原版摘要

Proceedings of the National Academy of Sciences, Volume 123, Issue 8, February 2026. <br />SignificanceMany proteins contain regions that never settle into a well-defined structure—they continuously switch among multiple conformations. These heterogeneous regions are crucial in health and disease yet remain hard to characterize. We merge ...
Grin2b 3'非翻译区对突触可塑性和空间学习的必要性MYCN在肝癌发生中的致癌功能及转录动力学
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