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蛋白质晶体结构中交替定位片段的数据集。

A dataset of alternately located segments in protein crystal structures.

作者信息

Rosenberg Aviv A, Marx Ailie, Bronstein Alexander M

机构信息

Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel.

Department of Molecular and Computational Biosciences and Biotechnology, Migal - Galilee Research Institute, Qiryat, Israel.

出版信息

Sci Data. 2024 Jul 17;11(1):783. doi: 10.1038/s41597-024-03595-4.

DOI:10.1038/s41597-024-03595-4
PMID:39019896
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11255211/
Abstract

Protein Data Bank (PDB) files list the relative spatial location of atoms in a protein structure as the final output of the process of fitting and refining to experimentally determined electron density measurements. Where experimental evidence exists for multiple conformations, atoms are modelled in alternate locations. Programs reading PDB files commonly ignore these alternate conformations by default leaving users oblivious to the presence of alternate conformations in the structures they analyze. This has led to underappreciation of their prevalence, under characterisation of their features and limited the accessibility to this high-resolution data representing structural ensembles. We have trawled PDB files to extract structural features of residues with alternately located atoms. The output includes the distance between alternate conformations and identifies the location of these segments within the protein chain and in proximity of all other atoms within a defined radius. This dataset should be of use in efforts to predict multiple structures from a single sequence and support studies investigating protein flexibility and the association with protein function.

摘要

蛋白质数据库(PDB)文件列出了蛋白质结构中原子的相对空间位置,这是根据实验测定的电子密度测量值进行拟合和精修过程的最终输出。当存在多种构象的实验证据时,原子会在交替位置进行建模。读取PDB文件的程序通常默认忽略这些交替构象,使得用户在分析的结构中对交替构象的存在浑然不觉。这导致对其普遍性认识不足,对其特征描述不够,并且限制了获取这些代表结构集合的高分辨率数据的途径。我们遍历了PDB文件,以提取具有交替定位原子的残基的结构特征。输出结果包括交替构象之间的距离,并确定这些片段在蛋白质链中的位置以及在定义半径内与所有其他原子的接近程度。该数据集应有助于从单个序列预测多种结构,并支持研究蛋白质灵活性及其与蛋白质功能关联的研究。

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A dataset of alternately located segments in protein crystal structures.蛋白质晶体结构中交替定位片段的数据集。
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本文引用的文献

1
Automated multiconformer model building for X-ray crystallography and cryo-EM.自动化多构象体模型构建用于 X 射线晶体学和 cryo-EM。
Elife. 2024 Jun 21;12:RP90606. doi: 10.7554/eLife.90606.
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Protein conformational ensembles in function: roles and mechanisms.发挥功能的蛋白质构象集合:作用与机制
RSC Chem Biol. 2023 Sep 5;4(11):850-864. doi: 10.1039/d3cb00114h. eCollection 2023 Nov 1.
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FLEXR: automated multi-conformer model building using electron-density map sampling.FLEXR:基于电子密度图采样的自动化多构象模型构建。
Acta Crystallogr D Struct Biol. 2023 May 1;79(Pt 5):354-367. doi: 10.1107/S2059798323002498. Epub 2023 Apr 18.
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Modeling with Alternate Locations in X-ray Protein Structures.X 射线蛋白质结构中的替代位置建模。
J Chem Inf Model. 2023 Apr 24;63(8):2573-2585. doi: 10.1021/acs.jcim.3c00100. Epub 2023 Apr 5.
5
Protein structure prediction has reached the single-structure frontier.蛋白质结构预测已经达到了单结构前沿。
Nat Methods. 2023 Feb;20(2):170-173. doi: 10.1038/s41592-022-01760-4.
6
UniProt: the Universal Protein Knowledgebase in 2023.UniProt:2023 年的通用蛋白质知识库。
Nucleic Acids Res. 2023 Jan 6;51(D1):D523-D531. doi: 10.1093/nar/gkac1052.
7
Machine learning/molecular dynamic protein structure prediction approach to investigate the protein conformational ensemble.机器学习/分子动力学蛋白质结构预测方法研究蛋白质构象集合。
Sci Rep. 2022 Jun 15;12(1):10018. doi: 10.1038/s41598-022-13714-z.
8
Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon.简并密码子的 Ramachandran 图表明,氨基酸主链构象取决于翻译的密码子的身份。
Nat Commun. 2022 May 20;13(1):2815. doi: 10.1038/s41467-022-30390-9.
9
qFit 3: Protein and ligand multiconformer modeling for X-ray crystallographic and single-particle cryo-EM density maps.qFit 3:用于 X 射线晶体学和单颗粒冷冻电镜密度图的蛋白质和配体多构象建模。
Protein Sci. 2021 Jan;30(1):270-285. doi: 10.1002/pro.4001. Epub 2020 Nov 30.
10
RCSB Protein Data Bank: Architectural Advances Towards Integrated Searching and Efficient Access to Macromolecular Structure Data from the PDB Archive.RCSB 蛋白质数据库:从 PDB 档案中实现大分子结构数据的集成搜索和高效访问的架构进展。
J Mol Biol. 2021 May 28;433(11):166704. doi: 10.1016/j.jmb.2020.11.003. Epub 2020 Nov 10.