mPE-MMR can be used to create a MGF file with refined parent ion masses and charges, which can lead to more accurate search results from MS/MS spectra. mPE-MMR (Multiplexed Post-Experiment Monoisotopic Mass Refinement) supports multiplexed MS/MS spectra, and consists of the following:

When combined with MS-GF+, a database search algorithm based on fragment mass difference, mPE-MMR effectively increases both sensitivity and accuracy in peptide identification from complex high-throughput proteomics data compared to conventional methods.


The mPE-MMR method is an integrated approach that combines three previously reported methods of treating MS/MS data for precursor mass refinement. It increases sensitivity in peptide identification and provides increased accuracy. The mPE-MMR (SA) software requires the following:

Given these files, you can run mPE-MMR (SA) via the command line. The following automated steps will be performed:

See the User Guide (mPEMMR_UserGuide_EN.pdf) for detailed information on how to configure and run mPE-MMR.

Software developed at the Laboratory of Gaseous Ion Chemistry in the Department of Chemistry at Korea University.

Reference: “Multiplexed Post-Experimental Monoisotopic Mass Refinement (mPE-MMR) to Increase Sensitivity and Accuracy in Peptide Identifications from Tandem Mass Spectra of Cofragmentation.” Madar IH, Ko SI, Kim H, Mun DG, Kim S, Smith RD, Lee SW. Anal Chem. 2017 Jan 17; 89(2): 1244-1253. doi: 10.1021/acs.analchem.6b03874 (PubMed ID 27966901)



All publications that utilize this software should provide appropriate acknowledgement to PNNL and the mPE-MMR publication. However, if the software is extended or modified, then any subsequent publications should include a more extensive statement, as shown in the Readme file for the given application or on the website that more fully describes the application.


These programs are primarily designed to run on Windows machines. Please use them at your own risk. This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

Portions of this research were supported by the NIH National Center for Research Resources (Grant RR018522), the W.R. Wiley Environmental Molecular Science Laboratory (a national scientific user facility sponsored by the U.S. Department of Energy’s Office of Biological and Environmental Research and located at PNNL), and the National Institute of Allergy and Infectious Diseases (NIH/DHHS through interagency agreement Y1-AI-4894-01). PNNL is operated by Battelle Memorial Institute for the U.S. Department of Energy under contract DE-AC05-76RL0 1830.

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