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The Importance of Non-accessible Crosslinks and Solvent Accessible Surface Distance in Modeling Proteins with Restraints From Crosslinking Mass Spectrometry

机译:不可交联键和溶剂可触及表面距离在通过交联质谱法约束蛋白质建模中的重要性

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摘要

Crosslinking mass spectrometry (XL-MS) is becoming an increasingly popular technique for modeling protein monomers and complexes. The distance restraints garnered from these experiments can be used alone or as part of an integrative modeling approach, incorporating data from many sources. However, modeling practices are varied and the difference in their usefulness is not clear. Here, we develop a new scoring procedure for models based on crosslink data-Matched and Nonaccessible Crosslink score (MNXL). We compare its performance with that of other commonly-used scoring functions (Number of Violations and Sum of Violation Distances) on a benchmark of 14 protein domains, each with 300 corresponding models (at various levels of quality) and associated, previously published, experimental crosslinks (XLdb). The distances between crosslinked lysines are calculated either as Euclidean distances or Solvent Accessible Surface Distances (SASD) using a newly-developed method (Jwalk). MNXL takes into account whether a crosslink is nonaccessible, i. e. an experimentally observed crosslink has no corresponding SASD in a model due to buried lysines. This metric alone is shown to have a significant impact on modeling performance and is a concept that is not considered at present if only Euclidean distances are used. Additionally, a comparison between modeling with SASD or Euclidean distance shows that SASD is superior, even when factoring out the effect of the nonaccessible crosslinks. Our benchmarking also shows that MNXL outperforms the other tested scoring functions in terms of precision and correlation to C alpha-RMSD from the crystal structure. We finally test the MNXL at different levels of crosslink recovery (i.e. the percentage of crosslinks experimentally observed out of all theoretical ones) and set a target recovery of similar to 20% after which the performance plateaus.
机译:交联质谱(XL-MS)成为一种越来越流行的用于蛋白质单体和复合物建模的技术。从这些实验中获得的距离限制可以单独使用,也可以作为整合建模方法的一部分,并结合了来自许多来源的数据。但是,建模方法多种多样,其用途的区别尚不清楚。在这里,我们为基于交叉链接数据匹配和不可访问的交叉链接得分(MNXL)的模型开发了一种新的评分程序。我们将其性能与其他常用评分功能(违规次数和违规距离总和)的性能进行比较,以14个蛋白质域为基准,每个域都有300个相应的模型(处于不同质量水平),并且与相关的,先前发表的实验交联(XLdb)。交联赖氨酸之间的距离可使用新开发的方法(Jwalk)计算为欧几里得距离或溶剂可及表面距离(SASD)。 MNXL考虑到交叉链接是否不可访问,即。 e。由于掩埋的赖氨酸,实验观察到的交联在模型中没有相应的SASD。单独显示该度量标准对建模性能具有重大影响,并且如果仅使用欧几里德距离,则目前尚不考虑这一概念。此外,使用SASD或欧几里德距离进行建模之间的比较表明,即使将不可访问的交叉链接的影响考虑在内,SASD仍是优越的。我们的基准测试还表明,MNXL在精度和与晶体结构与C alpha-RMSD的相关性方面优于其他经过测试的评分功能。我们最终在不同水平的交联回复率下测试MNXL(即实验中从理论上观察到的交联百分比),并将目标回复率设置为接近20%,此后性能稳定下来。

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