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CryoAtlas dataset and benchmark advance cryo-EM atomic model building

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced CryoAtlas, a comprehensive dataset and benchmark designed to advance atomic model building in cryo-electron microscopy (cryo-EM). This resource integrates and filters a vast number of entries from the Electron Microscopy Data Bank and Protein Data Bank, creating a training set of over 16,000 entries and a benchmark of 618 targets. CryoAtlas aims to standardize evaluation by assessing structural accuracy, model-to-map fit, and stereochemical validity, providing a foundation for future research in the field. AI

IMPACT Provides a standardized resource to accelerate research and development in AI-driven atomic model building for cryo-EM.

RANK_REASON The cluster describes a new dataset and benchmark published on arXiv, which is a common venue for research papers. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

CryoAtlas dataset and benchmark advance cryo-EM atomic model building

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The cluster describes a new dataset and benchmark published on arXiv, which is a common venue for research papers. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [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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