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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.18554 |
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| _version_ | 1866918146086010880 |
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| author | Wang, Yufeng Wang, Peiyao Wei, Lu Rengifo, Emerita Mendoza Yang, Dali Ma, Lu Lin, Yuewei Liu, Qun Ling, Haibin |
| author_facet | Wang, Yufeng Wang, Peiyao Wei, Lu Rengifo, Emerita Mendoza Yang, Dali Ma, Lu Lin, Yuewei Liu, Qun Ling, Haibin |
| contents | Earth-abundant iron is an essential metal in regulating the structure and function of proteins. This study presents the development of a comprehensive X-ray Absorption Spectroscopy (XAS) database focused on iron-containing proteins, addressing a critical gap in available high-quality annotated spectral data for iron-containing proteins. The database integrates detailed XAS spectra with their corresponding local structural data of proteins and enables direct comparison between spectral features and structural motifs. Utilizing a combination of manual curation and semi-automated data extraction techniques, we developed a comprehensive dataset via extensive literature review, ensuring the quality and accuracy of data, which contains 437 protein structures and 1954 XAS spectrums. Our methods included careful documentation and validation processes to ensure accuracy and reproducibility. This dataset not only centralizes information on iron-containing proteins but also supports advanced data-driven discoveries, such as machine learning, to predict and analyze protein structure and functions. This work underscores the potential of integrating detailed spectroscopic data with structural biology to advance the field of biological chemistry and catalysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_18554 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | XDIP: A Curated X-ray Absorption Spectrum Dataset for Iron-Containing Proteins Wang, Yufeng Wang, Peiyao Wei, Lu Rengifo, Emerita Mendoza Yang, Dali Ma, Lu Lin, Yuewei Liu, Qun Ling, Haibin Biomolecules Earth-abundant iron is an essential metal in regulating the structure and function of proteins. This study presents the development of a comprehensive X-ray Absorption Spectroscopy (XAS) database focused on iron-containing proteins, addressing a critical gap in available high-quality annotated spectral data for iron-containing proteins. The database integrates detailed XAS spectra with their corresponding local structural data of proteins and enables direct comparison between spectral features and structural motifs. Utilizing a combination of manual curation and semi-automated data extraction techniques, we developed a comprehensive dataset via extensive literature review, ensuring the quality and accuracy of data, which contains 437 protein structures and 1954 XAS spectrums. Our methods included careful documentation and validation processes to ensure accuracy and reproducibility. This dataset not only centralizes information on iron-containing proteins but also supports advanced data-driven discoveries, such as machine learning, to predict and analyze protein structure and functions. This work underscores the potential of integrating detailed spectroscopic data with structural biology to advance the field of biological chemistry and catalysis. |
| title | XDIP: A Curated X-ray Absorption Spectrum Dataset for Iron-Containing Proteins |
| topic | Biomolecules |
| url | https://arxiv.org/abs/2504.18554 |