Machine Learning models for in vitro enzyme kinetic parameter prediction
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Updated
Apr 10, 2025 - Python
Machine Learning models for in vitro enzyme kinetic parameter prediction
A Python parser for the BRENDA database
Python toolkit and package for analyzing enzyme activity data
LBplot is a python program to plot Lineweaver-Burk double reciprocal plots and calculate basic statistics from V0 and [S] data.
🔬 mtphandler is Python package for processing, enriching, and converting microtiter plate data into standardized EnzymeML time-course data, ready for data science
A Python module for analysis and visualization of dose-response data
Organize and analyze plate-reader data from 96-well plate kinetics experiments. Specifically tailored for PGO assays but can be modified to fit many more.
A QM-MM Tutorial of Enzyme Reaction Dynamics
This repository contains the code, data, and analysis scripts for our RNA-Seq gene expression study of adult ruff sandpipers (Calidris pugnax). This study explores morph-specific differences in gene expression and steroid hormone metabolism, focusing on the key enzyme HSD17B2.
Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics
A library for parsing out data from the BRENDA database html files
Thermodynamics can present itself as kinetic inhibition
Enzyme kinetic assays in the Fluidigm Biomark HD instrument
steady-state rate equations for enzyme-catalyzed reactions
A library for generalized kinetics format
MSc thesis submitted to University of Hertfordshire
📕 - Kinetic modeling workflow
Analysis of Michaelis–Menten enzyme kinetics using the Lineweaver–Burk plot
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