Deuterium Exchange Correction and Analysis (DECA)

Deuterium Exchange Correction and Analysis (DECA) processes hydrogen–deuterium exchange mass spectrometry (HDX-MS) data to correct back-exchange, analyze overlapping peptides, and quantify relative deuterium uptake for protein structural and interaction studies.


Key Features:

  • Back-Exchange Correction: Applies algorithms to correct back-exchange effects in HDX-MS datasets to improve accuracy of measured deuterium incorporation.
  • Overlapping Peptide Analysis: Resolves overlapping peptide fragments generated during proteolytic digestion to accurately assign deuterium uptake across protein regions.
  • Relative Deuterium Uptake Calculation: Computes relative deuterium incorporation levels for peptides to characterize structural dynamics and interaction sites.
  • Statistical Evaluation: Performs statistical analysis to assess significant differences in deuterium uptake between experimental conditions.
  • HDX-MS Data Visualization: Generates figures representing deuterium uptake and structural changes derived from HDX-MS experiments.

Scientific Applications:

  • Protein Structural Dynamics Analysis: Investigates conformational flexibility and dynamic regions of proteins using HDX-MS data.
  • Protein–Ligand Interaction Mapping: Identifies ligand-binding regions through changes in peptide deuterium uptake.
  • Protein–Protein Interaction Studies: Detects interaction interfaces by comparing deuterium exchange patterns across experimental conditions.
  • Allosteric Regulation Research: Reveals long-range conformational changes associated with dynamic allostery in proteins.

Methodology:

DECA analyzes HDX-MS datasets by applying automated back-exchange correction, resolving overlapping peptide signals, calculating relative deuterium uptake values, and performing statistical comparisons of uptake differences between experimental conditions.

Topics

Details

License:
GPL-3.0
Tool Type:
desktop application
Programming Languages:
Python
Added:
1/9/2020
Last Updated:
12/17/2020

Operations

Publications

Lumpkin RJ, Komives EA. DECA, A Comprehensive, Automatic Post-processing Program for HDX-MS Data*. Molecular & Cellular Proteomics. 2019;18(12):2516-2523. doi:10.1074/mcp.tir119.001731. PMID:31594786. PMCID:PMC6885705.

PMID: 31594786
PMCID: PMC6885705
Funding: - National Science Foundation: MCB1817774

Links