Pout2Prot: An Efficient Tool to Create Protein (Sub)groups from Percolator Output Files

Area of Science:

• Microbiology
• Bioinformatics
• Computational Biology

Background:

• Metaproteomics studies microbial communities, presenting complex protein inference challenges due to shared peptides across species and protein isoforms.
• Existing tools like Prophane aid taxonomic and functional assignment but lack direct compatibility with common post-processing software such as Percolator.

Purpose of the Study:

• To develop an advanced protein grouping algorithm and associated software (Pout2Prot) that bridges the gap between Percolator output and Prophane.
• To enhance the analysis of metaproteomic data by enabling robust protein inference and facilitating taxonomic and functional characterization of microbial communities.

Main Methods:

• Developed Pout2Prot, a tool that processes multiple Percolator Output (.pout) files.
• Implemented an advanced protein grouping algorithm considering various strategies and employing weighted spectral counts for abundance estimation.
• Created Pout2Prot as a web application, a standalone command-line tool, and a reusable software library.

Main Results:

• Pout2Prot successfully generates protein group and subgroup output files (.tsv) compatible with Prophane.
• The developed algorithm offers flexible grouping strategies and accurate abundance estimation using weighted spectral counts.
• The tool facilitates improved protein inference and downstream analysis in metaproteomics.

Conclusions:

• Pout2Prot effectively resolves the incompatibility between Percolator and Prophane, enhancing metaproteomic data analysis.
• The software provides a valuable resource for researchers studying microbial communities, improving the accuracy of taxonomic and functional profiling.
• Pout2Prot is open-source and accessible, promoting wider adoption and further development in the field.