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 Experiment Videos

Enzyme kinetic studies from progress curves.

E I Canela, R Franco

    The Biochemical Journal
    |January 15, 1986
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method for analyzing enzyme kinetics using progress curves, simplifying parameter estimation and reducing experimental time. The approach enhances model discrimination compared to traditional initial-velocity methods.

    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

    Sodium-glucose cotransporter 2 inhibitor dapagliflozin prevents ejection fraction reduction, reduces myocardial and renal NF-κB expression and systemic pro-inflammatory biomarkers in models of short-term doxorubicin cardiotoxicity.

    Frontiers in cardiovascular medicine·2024
    Same author

    A COVID-19 monitoring process for healthcare workers utilizing occupational health.

    Occupational medicine (Oxford, England)·2023
    Same author

    The association between parent education level, oral health, and oral-related sleep disturbance. An observational crosssectional study.

    European journal of paediatric dentistry·2023
    Same author

    Electronic and electrocatalytic properties of PbTiO<sub>3</sub>: unveiling the effect of strain and oxygen vacancy.

    Dalton transactions (Cambridge, England : 2003)·2023
    Same author

    30 years of the ABFO study: Reproduction in a Brazilian sample.

    Morphologie : bulletin de l'Association des anatomistes·2023
    Same author

    Establishment of patient-derived tumor organoids to functionally inform treatment decisions in metastatic colorectal cancer.

    ESMO open·2023
    Same journal

    Mechanistic insights into acetylated histone recognition by the CECR2 bromodomain.

    The Biochemical journal·2026
    Same journal

    Nanobodies against Plasmodium adhesins that block receptor engagement and malaria parasite invasion.

    The Biochemical journal·2026
    Same journal

    Persistence without turnover: the RhoG G12E mutant highlights the role of nucleotide cycling in RhoG signaling.

    The Biochemical journal·2026
    Same journal

    Alternative Splicing of Rice Chloroplastic CuZn Superoxide Dismutase, OsCSD2: Impact on expression and protein characteristics.

    The Biochemical journal·2026
    Same journal

    Difference and similarity between the ubiquitous secretory pathway Ca2+-ATPases, SERCA2b, and SPCA1a.

    The Biochemical journal·2026
    Same journal

    A molecular perspective on dimethylarginine dimethylaminohydrolases structure and function.

    The Biochemical journal·2026
    See all related articles

    Area of Science:

    • Biochemistry
    • Enzyme Kinetics
    • Computational Biology

    Background:

    • Enzyme kinetic analysis traditionally relies on initial-velocity methods, which can be time-consuming.
    • Accurate kinetic parameter estimation often requires good initial guesses, posing a challenge.
    • Existing methods for progress curve analysis have limitations in parameter estimation and model discrimination.

    Purpose of the Study:

    • To develop a method for fitting progress curve velocities to steady-state rate equations.
    • To overcome the need for precise initial estimates of kinetic parameters.
    • To enable robust discrimination among competing kinetic models using progress curve data.

    Main Methods:

    • The method adapts the approaches of Markus & Plesser and Yun & Suelter.

    Related Experiment Videos

  • Graphical parameter estimation from a modified Yun & Suelter method removes the need for initial guesses.
  • Fitting progress curve velocities directly to steady-state rate equations is employed.

    • Main Results:

    • The developed method effectively fits progress curve data to steady-state rate equations.
    • It eliminates the requirement for accurate initial kinetic parameter estimates.
    • The method provides discrimination power comparable to initial-velocity methods.

    Conclusions:

    • This progress-curved-based method offers a significant time-saving alternative for enzyme kinetic studies.
    • It simplifies kinetic data analysis by removing the need for initial parameter estimates.
    • The approach allows for reliable model selection in enzyme kinetics research.