Protease Engineering
Protease Engineering - Related Videos
09:00
Use of the Protease Fluorescent Detection Kit to Determine Protease Activity
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Cited by 15 •
2009
The Protease Fluorescent Detection Kit is designed for the measurement of protease activity using fluorometry. It is also suitable for detection of trace amounts of protease contamination. The method is based on the proteolytic hydroysis of a proprietary formulation of a FITC-labeled casein substrate.
11:37
Sigma's Non-specific Protease Activity Assay - Casein as a Substrate
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Cited by 414 •
2008
Proteases break peptide bonds. In the lab, it is often necessary to measure and/or compare the activity of proteases. Sigma's non-specific protease activity assay may be used as a standardized procedure to determine the activity of proteases.
08:14
Determining Membrane Protein Topology Using Fluorescence Protease Protection (FPP)
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Cited by 18 •
2015
Here, we present a protocol to determine the orientation and topology of integral membrane proteins in living cells. This simple protocol relies on selective protease sensitivity of chimeras between the protein of interest and GFP.
09:43
Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water
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Cited by 2 •
2013
Stable isotope labeling workflows employing 18O-enriched water (LeO-workflows) are versatile tools for quantitative and qualitative proteomics studies. In protease-assisted (PALeO) workflows, 18O-atoms are introduced by proteolytic cleavage and carboxyl oxygen exchange reactions mediated by proteases. In the acid-catalyzed (ALeO) workflow, 18O-atoms are introduced by carboxyl oxygen exchange at low pH.
06:59
Mouse Islet of Langerhans Isolation using a Combination of Purified Collagenase and Neutral Protease
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Cited by 103 •
2012
A detailed description of mouse islet isolation is described using the technique of in situ pancreatic ductal cannulation and perfusion of a combination of purified collagenase and neutral protease.
FAQs
The three approaches differ in how sequence changes are chosen. Rational design uses an intentional modification strategy, whereas computational modeling helps predict useful sequence features or variants. Directed evolution instead generates altered sequences and selects variants according to measured performance. Comparing these routes lets bioengineers connect amino acid changes with specificity, activity, stability, and operating-condition tolerance.
Changes near a protease’s active site can alter which substrates it recognizes, while changes elsewhere may help preserve catalytic function under demanding conditions. This makes specificity and activity related but distinct engineering targets: a variant may be designed to recognize a desired substrate, remain functional at high temperature or extreme pH, or address both requirements. Such control supports tailored biocatalysts.
Operating conditions determine whether a protease retains useful catalytic function during a process. Engineering variants for high temperature or extreme pH can expand the conditions in which the catalyst performs effectively, rather than restricting applications to the conditions tolerated by a natural enzyme. This condition-focused design is especially relevant when industrial or biotechnology workflows require robust, process-compatible activity.
A typical workflow begins by choosing a performance goal, such as altered substrate recognition, improved activity, greater stability, or tolerance to a specific operating condition. Researchers then modify amino acid sequences through rational design, computational modeling, or directed evolution. Finally, they select variants that display the desired performance and relate the observed outcome to the underlying sequence changes.
Engineered proteases support several application areas, including industrial biocatalysis, food processing, detergents, pharmaceutical manufacturing, and biotechnology workflows. Their value comes from tailoring enzyme behavior to a particular process, such as substrate recognition or operation under high temperature or extreme pH. These adaptations can make reactions more suitable for specialized production environments than naturally occurring proteases.
Researchers can evaluate whether sequence changes improve substrate specificity, catalytic activity, stability, or performance under selected operating conditions. They can then connect those measurements to the variant’s amino acid sequence, building a basis for further design or selection. In bioengineering, this sequence-to-performance relationship helps guide catalysts that improve reaction efficiency, reduce processing costs, or enable otherwise unsuitable applications.