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Updated: Jan 31, 2026
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Measuring Calpain Activity in Fixed and Living Cells by Flow Cytometry
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CalCleaveMKL: a Tool for Calpain Cleavage Prediction.
David A duVerle1,2, Hiroshi Mamitsuka3,4
1Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Chiba, Japan. dave@cb.k.u-tokyo.ac.jp.
Methods in Molecular Biology (Clifton, N.J.)
|January 9, 2019
Summary
Calpain cleavage prediction is improved with CalCleaveMKL, a novel computational tool. This method enhances substrate identification and reveals subtype-specific calpain activity, advancing protease research.
Area of Science:
- Biochemistry
- Computational Biology
- Proteomics
Background:
- Calpains are Ca2+-dependent cysteine proteases involved in cellular metabolism.
- Limited knowledge exists regarding calpain substrates and cleavage mechanisms.
- Experimental substrate identification is challenging, necessitating computational prediction methods.
Purpose of the Study:
- To develop an efficient computational tool for predicting calpain cleavage sites.
- To improve the accuracy of calpain substrate identification.
- To investigate sequence-related features and subtype specificities in calpain action.
Main Methods:
- Introduction of CalCleaveMKL, a prediction tool utilizing multiple kernel learning (MKL).
- MKL extends support vector machines for complex models using heterogeneous feature sets.
- Analysis of sequence-related features like solvent accessibility and secondary structure.
Main Results:
- CalCleaveMKL demonstrates significantly improved prediction quality for calpain cleavage sites.
- The method provides insights into the importance of various sequence-related features.
- Significant specificity differences were identified across different calpain subtypes.
Conclusions:
- CalCleaveMKL offers a powerful and accurate method for calpain cleavage prediction.
- The findings highlight the importance of sequence features and reveal novel subtype specificities.
- An online implementation is available at http://calpain.org for broader accessibility.
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