Introduction

We have developed pLink, software for data analysis of cross-linked proteins coupled with mass-spectrometry analysis. pLink reliably estimates false discovery rate in cross-link identification and is compatible with multiple homo- or hetero-bifunctional cross-linkers. We validated the program with proteins of known structures, and we further tested it on protein complexes, crude immunoprecipitates and whole-cell lysates. We show that it is a robust tool for protein-structure and protein-protein-interaction studies.

Publications

  1. Identification of cross-linked peptides from complex samples.
    Cite this
    Yang B, Wu YJ, Zhu M, Fan SB, Lin J, Zhang K, Li S, Chi H, Li YX, Chen HF, Luo SK, Ding YH, Wang LH, Hao Z, Xiu LY, Chen S, Ye K, He SM, Dong MQ, 2012-09-01 - Nature methods

Credits

  1. Bing Yang
    Developer

  2. Yan-Jie Wu
    Developer

  3. Ming Zhu
    Developer

  4. Sheng-Bo Fan
    Developer

  5. Jinzhong Lin
    Developer

  6. Kun Zhang
    Developer

  7. Shuang Li
    Developer

  8. Hao Chi
    Developer

  9. Yu-Xin Li
    Developer

  10. Hai-Feng Chen
    Developer

  11. Shu-Kun Luo
    Developer

  12. Yue-He Ding
    Developer

  13. Le-Heng Wang
    Developer

  14. Zhiqi Hao
    Developer

  15. Li-Yun Xiu
    Developer

  16. She Chen
    Developer

  17. Keqiong Ye
    Developer

  18. Si-Min He
    Developer

  19. Meng-Qiu Dong
    Investigator

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Summary
AccessionBT000123
Tool TypeApplication
Category
PlatformsLinux/Unix
Technologies
User InterfaceTerminal Command Line
Download Count0
Submitted ByMeng-Qiu Dong