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1 Department of Chemistry and Biochemistry, 2 San Diego Supercomputer Center, and 3 Howard Hughes Medical Institute, University of California, San Diego, La Jolla, California 92093, USA
(RECEIVED August 22, 2005; FINAL REVISION November 30, 2005; ACCEPTED December 7, 2005)
A Fourier deconvolution method has been developed to explicitly determine the amount of backbone amide deuterium incorporated into protein regions or segments by hydrogen/deuterium (H/D) exchange with high-resolution mass spectrometry. Determination and analysis of the level and number of backbone amide exchanging in solution provide more information about the solvent accessibility of the protein than do previous centroid methods, which only calculate the average deuterons exchanged. After exchange, a protein is digested into peptides as a way of determining the exchange within a local area of the protein. The mass of a peptide upon deuteration is a sum of the natural isotope abundance, fast exchanging side-chain hydrogens (present in MALDI-TOF H/2H data) and backbone amide exchange. Removal of the components of the isotopic distribution due to the natural isotope abundances and the fast exchanging side-chains allows for a precise quantification of the levels of backbone amide exchange, as is shown by an example from protein kinase A. The deconvoluted results are affected by overlapping peptides or inconsistent mass envelopes, and evaluation procedures for these cases are discussed. Finally, a method for determining the back exchange corrected populations is presented, and its effect on the data is discussed under various circumstances.
Keywords: amide H/2H exchange; MALDI-TOF; deconvolution; back exchange correction
Abbreviations: H/D exchange, hydrogen/deuterium exchange MS, mass spectrometry MALDI-TOF, matrix-assisted laser-desorption/ ionization time-of-flight ESI-qTOF, electrospray ionization time-of-flight FTICR, Fourier transform ion cyclotron resonance NMR, nuclearmagnetic resonance PKA, proteinkinase A;M(0), monoisotopic peak FT, Fourier transform FFT, fast Fourier transform MEM, maximum entropy method
Article and publication are at http://www.proteinscience.org/cgi/doi/10.1110/ps.051774906.
Reprint requests to: Lynn Ten Eyck, Ph.D., San Diego Supercomputer Center-0505, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0505; e-mail: lteneyck{at}sdsc.edu; fax: (858) 822-3610.
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