PTMap-A sequence alignment software for unrestricted, accurate, and full-spectrum identification of post-translational modification sites

被引:83
作者
Chen, Yue [1 ,3 ]
Chen, Wei [2 ]
Cobb, Melanie H. [2 ]
Zhao, Yingming [1 ]
机构
[1] Univ Texas SW Med Ctr Dallas, Dept Biochem, Dallas, TX 75390 USA
[2] Univ Texas SW Med Ctr Dallas, Dept Pharmacol, Dallas, TX 75390 USA
[3] Univ Texas Arlington, Dept Chem & Biochem, Arlington, TX 76019 USA
基金
美国国家卫生研究院;
关键词
acetylation; dehydration; methylation; phosphorylation; TANDEM MASS-SPECTRA; PROTEIN IDENTIFICATION; SPECTROMETRY; PEPTIDES; DATABASES; ALGORITHM; HISTONES; SEARCH;
D O I
10.1073/pnas.0811739106
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present sequence alignment software, called PTMap, for the accurate identification of full-spectrum protein post-translational modifications (PTMs) and polymorphisms. The software incorporates several features to improve searching speed and accuracy, including peak selection, adjustment of inaccurate mass shifts, and precise localization of PTM sites. PTMap also automates rules, based mainly on unmatched peaks, for manual verification of identified peptides. To evaluate the quality of sequence alignment, we developed a scoring system that takes into account both matched and unmatched peaks in the mass spectrum. Incorporation of these features dramatically increased both accuracy and sensitivity of the peptide-and PTM-identifications. To our knowledge, PTMap is the first algorithm that emphasizes unmatched peaks to eliminate false positives. The superior performance and reliability of PTMap were demonstrated by confident identification of PTMs on 156 peptides from four proteins and validated by MS/MS of the synthetic peptides. Our results demonstrate that PTMap is a powerful algorithm capable of identification of all possible protein PTMs with high confidence.
引用
收藏
页码:761 / 766
页数:6
相关论文
共 25 条
  • [1] Protein identification by spectral networks analysis
    Bandeira, Nuno
    Tsur, Dekel
    Frank, Ari
    Pevzner, Pavel A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (15) : 6140 - 6145
  • [2] A probability-based approach for high-throughput protein phosphorylation analysis and site localization
    Beausoleil, Sean A.
    Villen, Judit
    Gerber, Scott A.
    Rush, John
    Gygi, Steven P.
    [J]. NATURE BIOTECHNOLOGY, 2006, 24 (10) : 1285 - 1292
  • [3] CHEN W, 2008, J BIOL CHEM IN PRESS
  • [4] Integrated approach for manual evaluation of peptides identified by searching protein sequence databases with tandem mass spectra
    Chen, Y
    Kwon, SW
    Kim, SC
    Zhao, YM
    [J]. JOURNAL OF PROTEOME RESEARCH, 2005, 4 (03) : 998 - 1005
  • [5] CHEN Y, 2008, COMMON TYPES F UNPUB
  • [6] Lysine propionylation and butyrylation are novel post-translational modifications in histones
    Chen, Yue
    Sprung, Robert
    Tang, Yi
    Ball, Haydn
    Sangras, Bhavani
    Kim, Sung Chan
    Falck, John R.
    Peng, Junmin
    Gu, Wei
    Zhao, Yingming
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2007, 6 (05) : 812 - 819
  • [7] TANDEM: matching proteins with tandem mass spectra
    Craig, R
    Beavis, RC
    [J]. BIOINFORMATICS, 2004, 20 (09) : 1466 - 1467
  • [8] De novo peptide sequencing via tandem mass spectrometry
    Dancík, V
    Addona, TA
    Clauser, KR
    Vath, JE
    Pevzner, PA
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 1999, 6 (3-4) : 327 - 342
  • [9] AN APPROACH TO CORRELATE TANDEM MASS-SPECTRAL DATA OF PEPTIDES WITH AMINO-ACID-SEQUENCES IN A PROTEIN DATABASE
    ENG, JK
    MCCORMACK, AL
    YATES, JR
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 1994, 5 (11) : 976 - 989
  • [10] A statistical basis for testing the significance of mass spectrometric protein identification results
    Eriksson, J
    Chait, BT
    Fenyö, D
    [J]. ANALYTICAL CHEMISTRY, 2000, 72 (05) : 999 - 1005