A decision tree searching strategy to boost the identification of cross-linked peptides.,Analytical Chemistry

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A decision tree searching strategy to boost the identification of cross-linked peptides.
Analytical Chemistry ( IF 6.7 ) Pub Date : 2020-09-21 , DOI: 10.1021/acs.analchem.0c00452
Rong Huang _{1,

2} , Xiuxia Gao ₁ , Zili Xu ₁ , Wei Zhu ₁ , Ding Wei _{1,

2} , Biao Jiang ₁ , Hongli Chen ₁ , Wenzhang Chen ₁

Affiliation

We describe an efficient decision tree searching strategy (DTSS) to boost the identification of cross-linked peptides. The DTSS approach allows the identification of a wealth of complementary information to facilitate the construction of more protein–protein interaction networks for human cell lysate, which was tested by the use of a recently reported cross-linking data set (ACS Cent. Sci.2019, 5, 1514–1522). A variant of the PhoX-linker, named pDSPE, was synthesized and applied to cross-link Escherichia coli cell lysate to demonstrate that the acquisition of doubly charged ions can significantly improve identification results. The method can be seamlessly integrated to other search engines to maximize the number of identified cross-links.

中文翻译：

决策树搜索策略可增强对交联肽段的识别。

我们描述了一种有效的决策树搜索策略（DTSS），以增强对交联肽段的识别。在DTSS方法允许丰富的补充信息的标识，以便于人类细胞裂解物，将其通过使用最近报道的交联的数据集（的测试更多的蛋白-蛋白相互作用网络的建设ACS美分。科学。2019，5，1514年至1522年）。合成了一个名为pDSPE的PhoX连接子变体，并将其应用于交联大肠杆菌细胞裂解液以证明双电荷离子的采集可以显着改善鉴定结果。该方法可以无缝集成到其他搜索引擎中，以最大化所标识的交叉链接的数量。

更新日期：2020-10-21

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