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 ...
- 作者:NotionNext
- 链接:https://tangly1024.com/article/31348bd6-1f96-8100-a160-d1b3723139ff
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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