English(EN) SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding

SymFold 整合进化和结构先验用于蛋白质逆向折叠

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了 SymFold，一种整合了进化和结构信息的蛋白质逆向折叠新方法。该方法利用对称双路径架构，结合了用于进化知识的预训练语言模型 (PLM) 和用于结构洞察的多模态蛋白质语言模型 (MPLM)。通过迭代指导，SymFold 在标准基准测试中取得了最先进的性能，优于先前的方法，并证明了其对称设计的有效性。 AI

影响这项研究推动了人工智能在生物学应用中的能力，有望加速药物发现和酶工程。

排序理由该集群包含一篇详细介绍蛋白质逆向折叠新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Handong Wang, Jiaxin Qi, Baisheng Lai, Jianqiang Huang · 2026-09-02 04:00

SymFold：协同进化和结构先验以实现精确的蛋白质逆向折叠

arXiv:2609.01353v1 Announce Type: new Abstract: Protein inverse folding aims to recover amino acid sequences for a given 3D protein structure, underpinning broad applications such as enzyme engineering and drug discovery.Current methods often follow a serial pipeline, in which a …

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SymFold：协同进化和结构先验以实现精确的蛋白质逆向折叠

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