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Fast and Accurate Charge State Deconvolution of Protein Mass Spectra.

Kenneth R Durbin1, Matthew T Robey1, Joseph B Greer1

  • 1Proteinaceous, Inc., Evanston, Illinois 60201, United States.

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We developed kDecon, a novel iterative algorithm for charge state deconvolution in mass spectrometry. kDecon enhances accuracy and sensitivity for identifying low-abundance proteoforms in complex samples.

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Biochemistry

Background:

  • Accurate mass profiling of proteoforms is crucial for understanding protein function and disease.
  • Existing charge state deconvolution methods face challenges with sensitivity and accuracy, especially for low-abundance species.
  • There is a need for robust algorithms to improve proteome coverage in mass spectrometry.

Purpose of the Study:

  • To introduce kDecon, an iterative charge state deconvolution algorithm.
  • To evaluate kDecon's performance in terms of accuracy, sensitivity, and speed compared to existing methods.
  • To demonstrate kDecon's utility in targeted antibody and high-throughput proteomics.

Main Methods:

  • Development of an iterative charge state deconvolution algorithm, kDecon.
  • Benchmarking kDecon against other deconvolution solutions using targeted antibody and high-throughput proteomics data.
  • Performance evaluation focused on mass accuracy, sensitivity for low-abundance proteoforms, false positive rates, and computational speed.

Main Results:

  • kDecon achieved high accuracy and superb sensitivity for lower abundance proteoforms in complex spectra.
  • Benchmarking showed kDecon outperformed existing solutions in precision for low-abundance proteoform mass profiling.
  • kDecon demonstrated up to 7-fold fewer false positives and at least 20-fold speed improvements.

Conclusions:

  • kDecon offers best-in-class precision for low-abundance proteoform mass profiling.
  • The algorithm advances enable routine and thorough intact mass profiling of biotherapeutics.
  • kDecon improves proteome coverage in top-down proteomics experiments.