English(EN) Discrete Ricci Curvature on Protein Contact Graphs for Lightweight Fold Classification

离散Ricci曲率提供轻量级蛋白质折叠分类方法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-21 04:00

研究人员开发了一种利用蛋白质接触图上的离散Ricci曲率进行蛋白质折叠分类的新方法。该方法生成一个轻量级的22维特征向量，在基准数据集上的表现优于ESM-2等大型预训练蛋白质语言模型嵌入。将Ricci曲率与持久同调相结合进一步提高了性能，表明可解释的图描述符可以作为某些生物学任务中复杂语言模型的实用替代方案。 AI

影响这项研究表明，轻量级图描述符可以作为特定生物学分类任务中大型蛋白质语言模型的实用替代方案。

排序理由该集群包含一篇详细介绍蛋白质折叠分类新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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arXiv cs.LG TIER_1 English(EN) · Jianru Shen · 2026-07-21 04:00

用于轻量级折叠分类的蛋白质接触图上的离散Ricci曲率

arXiv:2607.16553v1 Announce Type: new Abstract: Protein fold classification can be approached via sequence-based representations or structural descriptors, but direct comparisons between lightweight handcrafted descriptors and pretrained protein language model embeddings remain l…

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用于轻量级折叠分类的蛋白质接触图上的离散Ricci曲率

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