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.
A Python module for analysis and visualization of dose-response data
🔬 mtphandler is Python package for processing, enriching, and converting microtiter plate data into standardized EnzymeML time-course data, ready for data science
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.
A library for parsing out data from the BRENDA database html files
Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics
Thermodynamics can present itself as kinetic inhibition
steady-state rate equations for enzyme-catalyzed reactions
Enzyme kinetic assays in the Fluidigm Biomark HD instrument
A library for generalized kinetics format
MSc thesis submitted to University of Hertfordshire
Supplementary code of Cox et al., 2019
Some scripts for biochemical engineering
📕 - Kinetic modeling workflow
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