PeptideVisualizer: A Novel Software Solution for PROTOMAP Analysis

PeptideVisualizer is an open-source software for PROTOMAP analysis, offering an intuitive graphical user interface and command-line compatibility. The software processes mass spectrometry data output from MaxQuant to visualize protein migration in polyacrylamide gel electrophoresis and sequence coverage. In addition, it integrates information regarding protein secondary structure and features from the UniProt database to visualize them within comprehensive peptographs. These features allow us to assess the occurrence of a proteolytic event based on sequence context and peptides abundance. The key advantages of PeptideVisualizer include the integration of quantitative information, handling of multiple experiments with biological replicates, and the introduction of a novel mismatch factor─a metric designed to rapidly identify proteolytic events. Herein, the software was validated in an apoptosis-related data set, demonstrating its effectiveness and usefulness in large-scale proteomic data analysis.

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Publication Details

Journal
Journal of Proteome Research
Published
2026-04-15
DOI
https://doi.org/10.1021/acs.jproteome.5c01209
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
8.34

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Abstract

PeptideVisualizer is an open-source software for PROTOMAP analysis, offering an intuitive graphical user interface and command-line compatibility. The software processes mass spectrometry data output from MaxQuant to visualize protein migration in polyacrylamide gel electrophoresis and sequence coverage. In addition, it integrates information regarding protein secondary structure and features from the UniProt database to visualize them within comprehensive peptographs. These features allow us to assess the occurrence of a proteolytic event based on sequence context and peptides abundance. The key advantages of PeptideVisualizer include the integration of quantitative information, handling of multiple experiments with biological replicates, and the introduction of a novel mismatch factor─a metric designed to rapidly identify proteolytic events. Herein, the software was validated in an apoptosis-related data set, demonstrating its effectiveness and usefulness in large-scale proteomic data analysis.

Journal of Proteome ResearchVol. 25(5)
University of Ljubljana (SI), Jožef Stefan Institute (SI), Jožef Stefan International Postgraduate School (SI)
Javna Agencija za Raziskovalno Dejavnost RS
Openalex Percentile: Top 2%
Advanced Proteomics Techniques and Applications
8.34
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