enzyme-kinetics

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

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.

Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics

Open-source Python toolkit for reproducible enzyme kinetics, Michaelis-Menten fitting, and IC50 dose-response analysis.

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.

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.

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

What a biostimulant changes inside the leaf, measured

Enzyme kinetics fitting tools — simple Michaelis-Menten fitter (Dash) and advanced multi-model Bayesian fitter with ODE integration (Streamlit/PyMC)

Statistical modeling of enzyme kinetics and inhibition mechanisms in R. Supports linear/non-linear least squares (LLS, NLS, WLS, WNLS), inhibition classification, and residual bootstrapping.

MSc thesis submitted to University of Hertfordshire

R package designed to generate, distribute, and evaluate enzyme kinetics data for teaching and assessment in biochemistry and related laboratory courses.