English(EN) Predicting protein structures at any folding stage from sequence

新AI框架FoldScape可预测蛋白质跨折叠阶段的结构

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员开发了FoldScape，一个深度学习框架，能够预测蛋白质在不同折叠阶段（从未折叠状态到天然结构）的构象集合。与以往只关注最终构象的方法不同，FoldScape通过条件化折叠进程来生成这些集合。该框架在构象空间覆盖率方面，尤其是在回转半径和天然接触分数等指标上，显示出比AlphaFold 3等现有工具显著的优势。 AI

影响能够更全面地理解蛋白质动力学，而不仅仅是最终结构，可能加速药物发现和生物学研究。

排序理由该集群是关于一篇详细介绍用于蛋白质结构预测的新型AI框架的科学论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Lisheng Zhang, Qingsong Li, Zinan Xie, Yanting Yang, Qikui Yang, Peng Lu, Zhican Fu, Wentao Cui, Runtong Hou, Zhengwei Xie · 2026-11-05 05:00

从序列预测蛋白质的任意折叠阶段结构

arXiv:2611.04287v2 Announce Type: replace-cross Abstract: Protein structure prediction has largely focused on native conformations, leaving the continuum of unfolded states, folding intermediates, and native structures difficult to access. We present FoldScape, a sequence-conditi…

本文如何被排名

报道来源 [1]

从序列预测蛋白质的任意折叠阶段结构

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