Cleavage entropy as quantitative measure of protease specificity

Area of Science:

• Biochemistry
• Bioinformatics
• Computational Biology

Background:

• Protease specificity is crucial for biological processes.
• Quantitative characterization of protease specificity remains challenging.

Purpose of the Study:

• To establish an information theory-guided method for quantitative protease specificity characterization.
• To develop a cleavage entropy score for ranking proteases and assessing specificity determinants.

Main Methods:

• Calculating subpocket-wise entropy from MEROPS database substrate sequences.
• Summating subpocket contributions to derive overall protease substrate specificity.
• Comparing entropy scores with known protease profiles and evolutionary data.

Main Results:

• Developed a quantitative cleavage entropy score for unbiased protease specificity comparison.
• Successfully ranked proteases, differentiating specific from unspecific enzymes.
• Demonstrated the utility of cleavage entropy in tracing protease evolution and substrate promiscuity.

Conclusions:

• The cleavage entropy score provides a robust measure of protease specificity.
• This approach enables assessment of factors influencing protease recognition.
• Revealed significant substrate promiscuity and the impact of mutations on protease specificity.