Source data and code supporting model-based analysis of emergent properties (ECA) of soil enzyme-driven organic matter decomposition
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Updated
Jan 25, 2023 - Jupyter Notebook
Source data and code supporting model-based analysis of emergent properties (ECA) of soil enzyme-driven organic matter decomposition
Simulating biochemical systems with input in Matlab
Practice modeling in Matlab
Project for Physical Methods of Biology based on Kim JK, Tyson JJ (2020) Misuse of the Michaelis–Menten rate law for protein interaction networks and its remedy. PLoS Comput Biol 16(10): e1008258. https://doi.org/10.1371/journal. pcbi.1008258.
Utilizing Python and R to perform statistical analyses on real-world snapchat performance data to discover how various metrics relate to viewership
NaturalCatalysts has developed five new enzymes for use in the detergents industry, and they need help analyzing the enzymes for quality assurance. The enzymes have different kinetic constants, and the analysis involves running 100 kinetic enzyme tests, 10 tests. We construct an algorithm to determine which is the best test case.
Roi S. and Ilay P. projects during Tissue and Cells engineering course, during our B.sc in Biomedical Engineering
Repositorio para los notebooks y scripts usados en el Meetup de Introducción y Conceptos Básicos de Python para Ingenieros Químicos, realizado con Platzi Campus Rep
This is a mathematical modeling of Michaelis-Menten kinetics with R. Proteins associated to blood coagulation are included in the model.
Analysis of Michaelis–Menten enzyme kinetics using the Lineweaver–Burk plot
Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics
Fit enzymatic kinetics data set directly from excel with the Michaelis-Menten equation
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