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English(EN) CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building

CryoAtlas 数据集和基准推动冷冻电镜原子模型构建

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了 CryoAtlas，这是一个旨在推进冷冻电子显微镜 (cryo-EM) 原子模型构建的综合数据集和基准。该资源整合并筛选了电子显微镜数据库 (Electron Microscopy Data Bank) 和蛋白质数据库 (Protein Data Bank) 中的大量条目，创建了一个包含超过 16,000 个条目的训练集和 618 个目标的基准。CryoAtlas 旨在通过评估结构准确性、模型与图谱的匹配度以及立体化学有效性来标准化评估，为该领域的未来研究奠定基础。 AI

影响 提供了一个标准化的资源，以加速冷冻电镜领域中人工智能驱动的原子模型构建的研究和开发。

排序理由 该集群描述了在 arXiv 上发布的新数据集和基准，arXiv 是研究论文的常见发布平台。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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CryoAtlas 数据集和基准推动冷冻电镜原子模型构建

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该集群描述了在 arXiv 上发布的新数据集和基准，arXiv 是研究论文的常见发布平台。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mingrui Li, Minzhang Li, Weichen Qin, Yufan Xie, Zhangzhi Xiong, Sixian Shen, Jiakai Zhang, Yuan Pei, Jingyi Yu ·

    CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building

    arXiv:2610.41411v1 Announce Type: new Abstract: Deep learning has accelerated automated atomic model building from cryo-EM maps, yet progress remains limited by the lack of large, high-quality datasets and standardized evaluation benchmarks. We address this gap by introducing Cry…

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