Literature DB >> 22794508

MS-Simulator: predicting y-ion intensities for peptides with two charges based on the intensity ratio of neighboring ions.

Shiwei Sun1, Fuquan Yang, Qing Yang, Hong Zhang, Yaojun Wang, Dongbo Bu, Bin Ma.   

Abstract

For the identification of peptides with tandem mass spectrometry (MS/MS), many software tools rely on the comparison between an experimental spectrum and a theoretically predicted spectrum. Consequently, the accurate prediction of the theoretical spectrum from a peptide sequence can potentially improve the peptide identification performance and is an important problem for mass spectrometry based proteomics. In this study a new approach, called MS-Simulator, is presented for predicting the y-ion intensities in the spectrum of a given peptide. The new approach focuses on the accurate prediction of the relative intensity ratio between every two adjacent y-ions. The theoretical spectrum can then be derived from these ratios. The prediction of a ratio is a closed-form equation that involves up to five consecutive amino acids nearby the two y-ions and the two peptide termini. Compared with another existing spectrum prediction tool MassAnalyzer, the new approach not only simplifies the computation, but also improves the prediction accuracy.

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Substances:

Year:  2012        PMID: 22794508     DOI: 10.1021/pr300235v

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

1.  MaSS-Simulator: A Highly Configurable Simulator for Generating MS/MS Datasets for Benchmarking of Proteomics Algorithms.

Authors:  Muaaz Gul Awan; Fahad Saeed
Journal:  Proteomics       Date:  2018-09-28       Impact factor: 3.984

2.  Construction of à la carte QconCAT protein standards for multiplexed quantification of user-specified target proteins.

Authors:  James Johnson; Victoria M Harman; Catarina Franco; Edward Emmott; Nichola Rockliffe; Yaqi Sun; Lu-Ning Liu; Ayako Takemori; Nobuaki Takemori; Robert J Beynon
Journal:  BMC Biol       Date:  2021-09-08       Impact factor: 7.431

3.  Full-Spectrum Prediction of Peptides Tandem Mass Spectra using Deep Neural Network.

Authors:  Kaiyuan Liu; Sujun Li; Lei Wang; Yuzhen Ye; Haixu Tang
Journal:  Anal Chem       Date:  2020-02-25       Impact factor: 8.008

4.  OpenMS-Simulator: an open-source software for theoretical tandem mass spectrum prediction.

Authors:  Yaojun Wang; Fei Yang; Peng Wu; Dongbo Bu; Shiwei Sun
Journal:  BMC Bioinformatics       Date:  2015-04-02       Impact factor: 3.169

5.  Novor: real-time peptide de novo sequencing software.

Authors:  Bin Ma
Journal:  J Am Soc Mass Spectrom       Date:  2015-06-30       Impact factor: 3.109

6.  In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics.

Authors:  Yi Yang; Xiaohui Liu; Chengpin Shen; Yu Lin; Pengyuan Yang; Liang Qiao
Journal:  Nat Commun       Date:  2020-01-09       Impact factor: 14.919

  6 in total

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