Article

Using Ion Mobility Data to Improve Peptide Identification: Intrinsic Amino Acid Size Parameters

Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
Journal of Proteome Research (Impact Factor: 4.25). 03/2011; 10(5):2318-29. DOI: 10.1021/pr1011312
Source: PubMed

ABSTRACT

A new method for enhancing peptide ion identification in proteomics analyses using ion mobility data is presented. Ideally, direct comparisons of experimental drift times (t(D)) with a standard mobility database could be used to rank candidate peptide sequence assignments. Such a database would represent only a fraction of sequences in protein databases and significant difficulties associated with the verification of data for constituent peptide ions would exist. A method that employs intrinsic amino acid size parameters to obtain ion mobility predictions that can be used to rank candidate peptide ion assignments is proposed. Intrinsic amino acid size parameters have been determined for doubly charged peptide ions from an annotated yeast proteome. Predictions of ion mobilities using the intrinsic size parameters are more accurate than those obtained from a polynomial fit to t(D) versus molecular weight data. More than a 2-fold improvement in prediction accuracy has been observed for a group of arginine-terminated peptide ions 12 residues in length. The use of this predictive enhancement as a means to aid peptide ion identification is discussed, and a simple peptide ion scoring scheme is presented.

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    • "Recently, the (Q-)TOF was combined with ion mobility devices, where ionized molecules are separated based on their different behavior in a carrier buffer gas. Though ion mobility MS is mostly used in structural biology, it also has been applied recently as an extra dimension of separation in an LC-MS setup, further increasing the proteome coverage (Valentine et al. 2011). It leads to an enhanced and more accurate quantification because of the more accurate interpretation of chimeric MS/MS spectra. "
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