ICEKAT

ICEKAT calculates initial rates from continuous enzyme kinetic traces and derives kinetic parameters such as Michaelis-Menten and EC50/IC50 to support high-throughput enzyme kinetics analysis.


Key Features:

  • Interactive Kinetic Trace Fitting: Semi-automated, interactive fitting of continuous enzyme kinetic traces with user-defined fitting ranges for initial-rate determination.
  • Evaluation of Kinetic Parameters: Derives Michaelis-Menten kinetic parameters and EC50/IC50 values from initial-rate data.
  • High-Throughput Screening Integration: Processes large datasets typical of high-throughput screening, demonstrated on over 500 continuous kinetic traces including experimental data for SIRT1 response to small-molecule activators.
  • Visualization Capabilities: Generates simultaneous displays of individual initial-rate fits alongside resulting Michaelis-Menten or EC50/IC50 model fits to aid hit identification and assessment of fitting impact.

Scientific Applications:

  • Enzyme kinetics parameter estimation: Determination of initial rates and fitting to Michaelis-Menten or EC50/IC50 models for enzymology studies.
  • Drug discovery and pharmacology: Evaluation of EC50/IC50 values and enzyme responses to small-molecule activators or inhibitors in drug discovery workflows.
  • High-throughput screening analysis: Processing and hit identification from large-scale continuous kinetic datasets.

Methodology:

Semi-automated fitting of continuous enzyme kinetic traces with interactive definition of linear fitting ranges to calculate initial rates and fit Michaelis-Menten or EC50/IC50 models.

Topics

Details

License:
MIT
Tool Type:
api
Programming Languages:
Python, JavaScript
Added:
1/18/2021
Last Updated:
2/1/2021

Operations

Publications

Olp MD, Kalous KS, Smith BC. ICEKAT: an interactive online tool for calculating initial rates from continuous enzyme kinetic traces. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-3513-y. PMID:32410570. PMCID:PMC7222511.

PMID: 32410570
PMCID: PMC7222511
Funding: - National Institute of General Medical Sciences: R35GM128840 - National Institute of Diabetes and Digestive and Kidney Diseases: F31DK117588 - National Science Foundation: CHE-1708829

Links