Parsimonious Charge Deconvolution for Native Mass Spectrometry.
Ontology highlight
ABSTRACT: Charge deconvolution infers the mass from mass over charge (m/z) measurements in electrospray ionization mass spectra. When applied over a wide input m/z or broad target mass range, charge-deconvolution algorithms can produce artifacts, such as false masses at one-half or one-third of the correct mass. Indeed, a maximum entropy term in the objective function of MaxEnt, the most commonly used charge deconvolution algorithm, favors a deconvolved spectrum with many peaks over one with fewer peaks. Here we describe a new "parsimonious" charge deconvolution algorithm that produces fewer artifacts. The algorithm is especially well-suited to high-resolution native mass spectrometry of intact glycoproteins and protein complexes. Deconvolution of native mass spectra poses special challenges due to
SUBMITTER: Bern M
PROVIDER: S-EPMC5838638 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA