FLASHDeconv

FLASHDeconv performs feature deconvolution of top-down mass spectrometry data to determine intact proteoform masses from MS1 and MS2 spectra.


Key Features:

  • Log m/z transformation: Converts peak positions (m/z) into log m/z space to convert variable charge patterns into constant patterns for detection.
  • Pattern search: Searches transformed spectra for constant patterns to identify charge series and corresponding proteoform masses.
  • Speed: Executes deconvolution up to two orders of magnitude faster than existing methods to enable high-throughput processing.
  • Accuracy and artifact reduction: Reports more genuine feature masses while substantially reducing the occurrence of artifacts compared with other tools.
  • Sample scope and mass range: Handles both simple and complex samples and supports precise mass determination of high-mass analytes for proteoform characterization.
  • MS1 and MS2 compatibility: Applies to deconvolution of both MS1 and MS2 scans in top-down proteomics datasets.

Scientific Applications:

  • Top-down proteomics deconvolution: Extracts intact proteoform masses from TD-MS datasets to preserve proteoform-specific information.
  • Proteoform characterization: Supports comprehensive characterization of protein species, including high-mass analytes.
  • Analysis of complex biological systems: Facilitates detailed proteoform analysis in studies of complex biological systems and disease mechanisms.

Methodology:

The algorithm transforms peak positions (m/z) into log m/z space and searches for constant patterns to identify charge series and deconvolute spectra.

Topics

Details

License:
BSD-3-Clause
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
C++
Added:
1/18/2021
Last Updated:
3/11/2021

Operations

Publications

Jeong K, Kim J, Gaikwad M, Hidayah SN, Heikaus L, Schlüter H, Kohlbacher O. FLASHDeconv: Ultrafast, High-Quality Feature Deconvolution for Top-Down Proteomics. Cell Systems. 2020;10(2):213-218.e6. doi:10.1016/j.cels.2020.01.003. PMID:32078799.

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