摘要翻译：
蛋白质的结构对其功能至关重要。蛋白质结构的确定可以通过实验或计算方法预测，但也可以将这两种方法结合起来。本文首先综述了实验结构测定方法及其优缺点。然后我们描述了质谱法如何用于半实验的蛋白质结构的综合测定。我们回顾了方法学，并描述了支持这些集成蛋白质结构预测方法的软件程序，利用从质谱交联实验中得到的距离约束
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英文标题：
《Mass spectrometry for semi-experimental protein structure determination
  and modeling》
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作者：
Gerhard Mayer
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最新提交年份：
2020
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  The structure of proteins is essential for its function. The determination of protein structures is possible by experimental or predicted by computational methods, but also a combination of both approaches is possible. Here, first an overview about experimental structure determination methods with their pros and cons is given. Then we describe how mass spectrometry is useful for semi-experimental integrative protein structure determination. We review the methodology and describe software programs supporting such integrated protein structure prediction approaches, making use of distance constraints got from mass spectrometry cross-linking experiments
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PDF链接：
https://arxiv.org/pdf/2003.00328