Suppr超能文献

《结构生物学中的不确定性与主观性指南》

Whaddaya Know: A Guide to Uncertainty and Subjectivity in Structural Biology.

机构信息

School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia.

School of Chemistry and Molecular Biosciences, University of Queensland, QLD, Australia.

出版信息

Trends Biochem Sci. 2017 Feb;42(2):155-167. doi: 10.1016/j.tibs.2016.11.002. Epub 2017 Jan 12.

Abstract

The methods of structural biology, while powerful, are technically complex. Although the Protein Data Bank (PDB) provides a repository that allows anyone to download any structure, many users would not appreciate the caveats that should be considered when examining a structure. Here, we describe several key uncertainties associated with the application of X-ray crystallography, NMR spectroscopy, single-particle electron microscopy (SPEM), and small-angle scattering (SAS) to biological macromolecules. The take-home message is that structures are not absolute truths - they are models that fit the experimental data and therefore have uncertainty and subjectivity associated with them. These uncertainties must be appreciated - careful reading of the associated paper, and any validation report provided by the structure database, is highly recommended.

摘要

结构生物学的方法虽然强大,但在技术上却很复杂。尽管蛋白质数据库 (PDB) 提供了一个存储库,允许任何人下载任何结构,但许多用户可能不会注意到在检查结构时应该考虑的注意事项。在这里,我们描述了与 X 射线晶体学、NMR 光谱学、单颗粒电子显微镜 (SPEM) 和小角散射 (SAS) 应用于生物大分子相关的几个关键不确定性。关键信息是,结构不是绝对的事实——它们是拟合实验数据的模型,因此存在与之相关的不确定性和主观性。这些不确定性必须得到重视——强烈建议仔细阅读相关论文和结构数据库提供的任何验证报告。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验