2000
DOI: 10.1016/s1044-0305(99)00157-9
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Automated reduction and interpretation of

Abstract: Here a fully automated computer algorithm is applied to complex mass spectra of peptides and proteins. This method uses a subtractive peak finding routine to locate possible isotopic clusters in the spectrum, subjecting these to a combination of the previous Fourier transform/Patterson method for primary charge determination and the method for least-squares fitting to a theoretically derived isotopic abundance distribution for m/z determination of the most abundant isotopic peak, and the statistical reliabilit… Show more

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Cited by 514 publications
(371 citation statements)
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“…The 6 T Fourier transform ion cyclotron resonance mass spectrometer (Finnigan-MAT, San Jose, CA) has been described (11,24,26,27 (35).…”
Section: Methodsmentioning
confidence: 99%
“…The 6 T Fourier transform ion cyclotron resonance mass spectrometer (Finnigan-MAT, San Jose, CA) has been described (11,24,26,27 (35).…”
Section: Methodsmentioning
confidence: 99%
“…Initially, a set of m/z values were obtained from each spectrum and the charge states are determined from their respective 13 C-isotopic patterns. Because a theoretical 13 C-isotope pattern for a peptide can be adequately predicted using an averaging based model [29], most "non-peptide-like" analytes can be eliminated based on the lack of agreement between the observed and predicted isotopic pattern, given sufficient S/N. Once the list is filtered so as to contain only likely peptide peaks, the monoisotopic ion mass is generated (based on the assumption that the peptide detected is protonated) from the monoisotopic m/z and charge state, and 13 C enriched (isotopic) peaks are eliminated from further consideration.…”
Section: Using Ambiguous Mass Values To Obtain Amt Tag Identificationsmentioning
confidence: 99%
“…Anderson@pnl.gov). Briefly, ICR-2LS converted the raw data into m͞z spectra that were subsequently transformed to generate a table of neutral masses by using an implementation of the THRASH algorithm originally developed by Horn et al (37). The frequency shift, obtained from the comparison of the theoretical and experimental mass of the internal standard, was then applied to all neutral masses and saved to a separate data file (PEK).…”
Section: Msmentioning
confidence: 99%