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.

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 Python module for analysis and visualization of dose-response data

A QM-MM Tutorial of Enzyme Reaction Dynamics

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

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.

A library for parsing out data from the BRENDA database html files

This study explores morph-specific differences in gene expression and steroid hormone metabolism in ruff sandpipers (Calidris pugnax), focusing on the key enzyme HSD17B2.

Thermodynamics can present itself as kinetic inhibition

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.

📕 - Kinetic modeling workflow

Enzyme Kinetics in R

Enzyme kinetic assays in the Fluidigm Biomark HD instrument

MSc thesis submitted to University of Hertfordshire