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EKMCMC (version 0.1.0)

MCMC Procedures for Estimating Enzyme Kinetics Constants

Description

Functions for estimating catalytic constant and Michaelis-Menten constant for enzyme kinetics model using Metropolis-Hasting algorithm within Gibbs sampler based on the Bayesian framework. Additionally, a function to create plot to identify the goodness-of-fit is included.

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Version

Install

install.packages('EKMCMC')

Monthly Downloads

195

Version

0.1.0

License

GPL-3

Maintainer

Boseung Choi

Last Published

November 26th, 2017

Functions in EKMCMC (0.1.0)

Chymo_low

Product concentration of 101 observed time
Chymo_high

Product concentration of 101 observed time
MM_catal_est

Simulataneous estimation of Michaelis-Menten constant and catalytic constant
MM_est

Estimation of single Michaelis-Menten constant
catalytic_est

Estimation of single catalytic constant
combined_est

Simulataneous estimation of Michaelis-Menten constant and catalytic constant using combined data
fore_p

Simulation plot of enzyme kinetics model