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A new scoring function for top-down spectral deconvolution

Journal Article · · BMC Genomics
 [1];  [2];  [3]
  1. Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Indiana Univ. School of Medicine, Indianapolis, IN (United States)

Background: Top-down mass spectrometry plays an important role in intact protein identification and characterization. Top-down mass spectra are more complex than bottom-up mass spectra because they often contain many isotopomer envelopes from highly charged ions, which may overlap with one another. As a result, spectral deconvolution, which converts a complex top-down mass spectrum into a monoisotopic mass list, is a key step in top-down spectral interpretation. Results: In this paper, we propose a new scoring function, L-score, for evaluating isotopomer envelopes. By combining L-score with MS-Deconv, a new software tool, MS-Deconv+, was developed for top-down spectral deconvolution. Experimental results showed that MS-Deconv+ outperformed existing software tools in top-down spectral deconvolution. Conclusions: L-score shows high discriminative ability in identification of isotopomer envelopes. Using L-score, MS-Deconv+ reports many correct monoisotopic masses missed by other software tools, which are valuable for proteoform identification and characterization.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1207277
Journal Information:
BMC Genomics, Journal Name: BMC Genomics Journal Issue: 1 Vol. 15; ISSN 1471-2164
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (3)

Approximating Isotope Distributions of Biomolecule Fragments journal September 2018
Informed-Proteomics: open-source software package for top-down proteomics journal August 2017
Deconvolution in mass spectrometry based proteomics journal April 2018

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