Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Integrated evaluation of antibody responses to mosquitoes and mosquito-borne pathogens using highly multiplexed serology.

Science advances·2026
Same author

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance.

Nature methods·2026
Same author

A 3D In Vitro Model of the Human Hepatobiliary Junction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Synthetic control of implanted engineered liver tissue growth.

Science advances·2026
Same author

Toward Breath-Based Diagnostics via Water-Mediated Capture of Synthetic Breath Biomarkers in SERS-Active Plasmonic Nanogaps.

Nano letters·2026
Same author

Molecular determinants of antibody-mediated priming to enhance detection of ctDNA.

bioRxiv : the preprint server for biology·2026
Same journal

Impact of an Artificial Albumin Corona on Surface Charge-Driven Nano-Bio Interactions and Cytotoxicity of Silver Nanoparticles.

ACS omega·2026
Same journal

Structural and Functional Disruption of Thiopurine S‑Methyltransferase by the A80P Variant: A Simulation and Genotyping Study.

ACS omega·2026
Same journal

CRISPR/Cas12a2-Mediated Ultrasensitive Assay for Rapid Detection of H1N1 Influenza Virus RNA.

ACS omega·2026
Same journal

Photocatalytic Treatment of Real Sugar Industry Wastewater Using Lignocellulosic Biomass-Derived Hydrochar/g-CN.

ACS omega·2026
Same journal

Electrochemical Dopamine Biosensor Based on Plant-Derived Peroxidase Immobilized on Titanate Nanowires.

ACS omega·2026
Same journal

Revealing the Effects of Process Parameters on Structural, Thermal, Mechanical, Biodegradation, and Biocompatibility Properties on the Electrospinning of Poly(vinyl alcohol)/Microbial Inulin Nanofibers.

ACS omega·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

Use of the Protease Fluorescent Detection Kit to Determine Protease Activity
09:00

Use of the Protease Fluorescent Detection Kit to Determine Protease Activity

Published on: August 4, 2009

28.4K

Protease Activity Analysis: A Toolkit for Analyzing Enzyme Activity Data.

Ava P Soleimany1,2,3, Carmen Martin-Alonso1, Melodi Anahtar1

  • 1Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, Massachusetts 02139, United States.

ACS Omega
|July 25, 2022
PubMed
Summary
This summary is machine-generated.

Researchers can now analyze protease activity more efficiently with Protease Activity Analysis (PAA). This new toolkit standardizes computational analysis for protease assays, aiding drug discovery and diagnostics.

More Related Videos

A Fluorogenic Peptide Cleavage Assay to Screen for Proteolytic Activity: Applications for coronavirus spike protein activation
07:53

A Fluorogenic Peptide Cleavage Assay to Screen for Proteolytic Activity: Applications for coronavirus spike protein activation

Published on: January 9, 2019

33.3K
Detection of Protease Activity by Fluorescent Peptide Zymography
09:56

Detection of Protease Activity by Fluorescent Peptide Zymography

Published on: January 20, 2019

12.9K

Related Experiment Videos

Last Updated: Sep 3, 2025

Use of the Protease Fluorescent Detection Kit to Determine Protease Activity
09:00

Use of the Protease Fluorescent Detection Kit to Determine Protease Activity

Published on: August 4, 2009

28.4K
A Fluorogenic Peptide Cleavage Assay to Screen for Proteolytic Activity: Applications for coronavirus spike protein activation
07:53

A Fluorogenic Peptide Cleavage Assay to Screen for Proteolytic Activity: Applications for coronavirus spike protein activation

Published on: January 9, 2019

33.3K
Detection of Protease Activity by Fluorescent Peptide Zymography
09:56

Detection of Protease Activity by Fluorescent Peptide Zymography

Published on: January 20, 2019

12.9K

Area of Science:

  • Biochemistry
  • Chemical Biology
  • Computational Biology

Background:

  • Protease activity analysis is crucial for understanding enzyme function and developing disease diagnostics and therapeutics.
  • Existing computational tools for predicting protease cleavage sites are abundant, but tools for analyzing experimental protease assays are lacking, leading to non-standardized research.
  • Researchers often develop custom analytical pipelines, hindering reproducibility and broad adoption of findings.

Purpose of the Study:

  • To introduce Protease Activity Analysis (PAA), a novel computational toolkit designed to streamline the analysis of protease activity data.
  • To provide a standardized framework for preprocessing, visualizing, and analyzing protease assay data from both in vitro and in vivo experiments.
  • To facilitate the querying of protease substrate cleavage data and the application of machine learning to activity-based sensor data.

Main Methods:

  • PAA utilizes a modular, Python-based object-oriented framework for flexible data analysis.
  • It includes functionalities for querying databases of synthetic peptide substrates and their cleavage susceptibilities.
  • The toolkit automates the analysis and visualization of in vitro enzyme-substrate activity measurements and supports machine learning analysis of in vivo protease activity signatures.

Main Results:

  • PAA offers a unified platform for diverse protease activity data analysis, from in vitro screens to in vivo sensor data.
  • The toolkit enables efficient querying of substrate cleavage data across various proteases.
  • It provides automated tools for analyzing and visualizing experimental assay results and applying machine learning models.

Conclusions:

  • Protease Activity Analysis (PAA) provides a comprehensive computational solution to standardize and accelerate protease research.
  • The toolkit addresses the current lack of automated analysis tools for protease assays, promoting consistency across the field.
  • PAA is expected to significantly benefit researchers in chemical biology, biochemistry, and drug discovery by facilitating data interpretation and analysis.