EnzymePredictor: a tool for predicting and visualizing enzymatic cleavages of digested proteins

Area of Science:

• Proteomics
• Bioinformatics
• Enzymology

Background:

• Mass spectrometry is crucial for analyzing protein hydrolysates.
• Identifying specific enzymes in complex mixtures is challenging.

Purpose of the Study:

• To develop a tool for identifying enzymes responsible for protein hydrolysis.
• To aid in characterizing bioactive protein hydrolysates.

Main Methods:

• Developed EnzymePredictor, a web-based software.
• Analyzes mass spectrometry data to identify protein fragments and potential cleaving enzymes.
• Generates visualizations and ranked enzyme tables with statistical measures.

Main Results:

• EnzymePredictor successfully identifies enzymes in milk hydrolysates.
• The tool ranks enzymes by cleavage counts and provides statistical significance.
• Visualizations show cleavage patterns across peptides and proteins.

Conclusions:

• EnzymePredictor accelerates enzyme identification in protein hydrolysates.
• The tool aids in understanding enzymatic cleavage patterns for experimental design.
• Facilitates the characterization of bioactive hydrolysates.