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A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides

Author

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  • Zhen-Lin Chen

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Jia-Ming Meng

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Yong Cao

    (National Institute of Biological Sciences)

  • Ji-Li Yin

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Run-Qian Fang

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Sheng-Bo Fan

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Chao Liu

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Wen-Feng Zeng

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Yue-He Ding

    (National Institute of Biological Sciences)

  • Dan Tan

    (National Institute of Biological Sciences)

  • Long Wu

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Wen-Jing Zhou

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Hao Chi

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

  • Rui-Xiang Sun

    (National Institute of Biological Sciences)

  • Meng-Qiu Dong

    (National Institute of Biological Sciences)

  • Si-Min He

    (Institute of Computing Technology, CAS
    University of Chinese Academy of Sciences)

Abstract

We describe pLink 2, a search engine with higher speed and reliability for proteome-scale identification of cross-linked peptides. With a two-stage open search strategy facilitated by fragment indexing, pLink 2 is ~40 times faster than pLink 1 and 3~10 times faster than Kojak. Furthermore, using simulated datasets, synthetic datasets, 15N metabolically labeled datasets, and entrapment databases, four analysis methods were designed to evaluate the credibility of ten state-of-the-art search engines. This systematic evaluation shows that pLink 2 outperforms these methods in precision and sensitivity, especially at proteome scales. Lastly, re-analysis of four published proteome-scale cross-linking datasets with pLink 2 required only a fraction of the time used by pLink 1, with up to 27% more cross-linked residue pairs identified. pLink 2 is therefore an efficient and reliable tool for cross-linking mass spectrometry analysis, and the systematic evaluation methods described here will be useful for future software development.

Suggested Citation

  • Zhen-Lin Chen & Jia-Ming Meng & Yong Cao & Ji-Li Yin & Run-Qian Fang & Sheng-Bo Fan & Chao Liu & Wen-Feng Zeng & Yue-He Ding & Dan Tan & Long Wu & Wen-Jing Zhou & Hao Chi & Rui-Xiang Sun & Meng-Qiu Do, 2019. "A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11337-z
    DOI: 10.1038/s41467-019-11337-z
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    Cited by:

    1. Aleksandra Levina & Kaelin D. Fleming & John E. Burke & Thomas A. Leonard, 2022. "Activation of the essential kinase PDK1 by phosphoinositide-driven trans-autophosphorylation," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
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    3. Ravi R. Sonani & Lee K. Palmer & Nathaniel C. Esteves & Abigail A. Horton & Amanda L. Sebastian & Rebecca J. Kelly & Fengbin Wang & Mark A. B. Kreutzberger & William K. Russell & Petr G. Leiman & Birg, 2024. "An extensive disulfide bond network prevents tail contraction in Agrobacterium tumefaciens phage Milano," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    4. Anaïs Menny & Marie V. Lukassen & Emma C. Couves & Vojtech Franc & Albert J. R. Heck & Doryen Bubeck, 2021. "Structural basis of soluble membrane attack complex packaging for clearance," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    5. Li Wang & Jiali Yu & Zishuo Yu & Qianmin Wang & Wanjun Li & Yulei Ren & Zhenguo Chen & Shuang He & Yanhui Xu, 2022. "Structure of nucleosome-bound human PBAF complex," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    6. Yichen Zhong & Hakimeh Moghaddas Sani & Bishnu P. Paudel & Jason K. K. Low & Ana P. G. Silva & Stefan Mueller & Chandrika Deshpande & Santosh Panjikar & Xavier J. Reid & Max J. Bedward & Antoine M. Oi, 2022. "The role of auxiliary domains in modulating CHD4 activity suggests mechanistic commonality between enzyme families," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    7. Matthew Day & Bilal Tetik & Milena Parlak & Yasser Almeida-Hernández & Markus Räschle & Farnusch Kaschani & Heike Siegert & Anika Marko & Elsa Sanchez-Garcia & Markus Kaiser & Isabel A. Barker & Laure, 2024. "TopBP1 utilises a bipartite GINS binding mode to support genome replication," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    8. Fangzhou Hao & Jieran Ma & Linhuan Luo & Weijun Dang & Yiwei Xue, 2023. "Power distribution network inspection vision system based on bionic vision image processing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(2), pages 568-577, April.
    9. Josh P. Prince & Jani R. Bolla & Gemma L. M. Fisher & Jarno Mäkelä & Marjorie Fournier & Carol V. Robinson & Lidia K. Arciszewska & David J. Sherratt, 2021. "Acyl carrier protein promotes MukBEF action in Escherichia coli chromosome organization-segregation," Nature Communications, Nature, vol. 12(1), pages 1-12, December.

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