In Silico Proteome Cleavage Reveals Iterative Digestion Strategy for High Sequence Coverage.

Area of Science:

• Proteomics
• Biochemistry
• Bioinformatics

Background:

• Shotgun proteomics is the primary method for measuring the proteome.
• Low proteome coverage is a significant limitation, hindering detailed biological characterization.
• Peptide length directly impacts sequence observability and protein identification accuracy.

Purpose of the Study:

• To computationally explore how peptide lengths from common digestion methods affect proteome coverage.
• To investigate iterative proteome cleavage strategies for enhanced sequence coverage.

Main Methods:

• Computational simulation of peptide lengths generated by various proteome digestion techniques.
• Analysis of iterative digestion protocols involving multiple proteases and chemical cleavages.

Main Results:

• Common digestion methods result in peptide lengths that limit observable proteome coverage.
• Iterative digestion strategies were explored computationally.
• Simulations indicate that a specific iterative digestion protocol can theoretically achieve 92.9% proteome coverage.

Conclusions:

• Peptide length is a critical determinant of proteome coverage in shotgun proteomics.
• Iterative digestion protocols offer a promising strategy to overcome current coverage limitations.
• Achieving near-complete proteome coverage is theoretically possible with optimized digestion strategies.