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
🏍️ - JAX-based framework to model biological systems
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.
🔬 mtphandler is Python package for processing, enriching, and converting microtiter plate data into standardized EnzymeML time-course data, ready for data science
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.
A Python module for analysis and visualization of dose-response data
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 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
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.
R package designed to generate, distribute, and evaluate enzyme kinetics data for teaching and assessment in biochemistry and related laboratory courses.
Enzyme kinetic assays in the Fluidigm Biomark HD instrument
A library for generalized kinetics format
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