Machine Learning models for in vitro enzyme kinetic parameter prediction
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Updated
Mar 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
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
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
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.
Enzyme kinetic assays in the Fluidigm Biomark HD instrument
Thermodynamics can present itself as kinetic inhibition
A novel adaptive security and deception platform using biological metaphors (protein folding, enzyme kinetics, immune response) with real cryptography, high-interaction honeypots, and Prometheus monitoring. Designed for biotech, pharma, and clinical research defense.
📕 - Kinetic modeling workflow
A library for generalized kinetics format
MSc thesis submitted to University of Hertfordshire
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