Machine Learning models for in vitro enzyme kinetic parameter prediction
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Updated
Jun 15, 2026 - Python
Machine Learning models for in vitro enzyme kinetic parameter prediction
A Python parser for the BRENDA database
🏍️ - JAX-based framework to model biological systems
Python toolkit and package for analyzing enzyme activity data
🔬 mtphandler is Python package for processing, enriching, and converting microtiter plate data into standardized EnzymeML time-course data, ready for data science
LBplot is a python program to plot Lineweaver-Burk double reciprocal plots and calculate basic statistics from V0 and [S] data.
A QM-MM Tutorial of Enzyme Reaction Dynamics
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.
Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics
A Python module for analysis and visualization of dose-response data
Python toolkit for wet-lab assay data analysis and visualization — enzyme kinetics, qPCR, and SPR fitting helpers with a built-in GraphPad-Prism-style Matplotlib stylesheet for publication-ready plots.
A computational tool for fitting Michaelis–Menten enzyme kinetics data using non-linear least squares regression. Features both a command-line interface for batch processing and an interactive web dashboard for real-time analysis.
This study explores morph-specific differences in gene expression and steroid hormone metabolism in ruff sandpipers (Calidris pugnax), focusing on the key enzyme HSD17B2.
A library for parsing out data from the BRENDA database html files
R package designed to generate, distribute, and evaluate enzyme kinetics data for teaching and assessment in biochemistry and related laboratory courses.
Generation of 3 types of Enzyme Kinetics plots, including double reciprocal, using R to reduce manual labour, from raw lab data. We are using ALP as a model enzyme.
Enzyme kinetics fitting tools — simple Michaelis-Menten fitter (Dash) and advanced multi-model Bayesian fitter with ODE integration (Streamlit/PyMC)
BioOpti is a toolkit for optimizing biochemical processes, including culture media and enzyme reaction rates. It helps tailor nutrient ratios for optimal growth and simulate enzyme activity under varying conditions, supporting efficient bioprocess optimization in research and industry.
Thermodynamics can present itself as kinetic inhibition
A library for generalized kinetics format
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