On the estimation errors of KM and V from time-course experiments using the Michaelis–Menten equation

W Stroberg, S Schnell - Biophysical chemistry, 2016 - Elsevier
The conditions under which the Michaelis–Menten equation accurately captures the steady-
state kinetics of a simple enzyme-catalyzed reaction is contrasted with the conditions under …

Estimating kinetic rate parameters for enzymatic degradation of lyophilized silk fibroin sponges

JF Jameson, MO Pacheco, JE Butler… - … in Bioengineering and …, 2021 - frontiersin.org
Sponge-like biomaterials formed from silk fibroin are promising as degradable materials in
clinical applications due to their controllable breakdown into simple amino acids or small …

Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes

M Wang, RS Risuleo, EW Jacobsen, V Chotteau… - Computers & Chemical …, 2020 - Elsevier
In biological systems, nonlinear kinetic relationships between metabolites of interest are
modeled for various purposes. Usually, little a priori knowledge is available in such models …

Modelling and control of gene regulatory networks for perturbation mitigation

M Foo, J Kim, DG Bates - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
Synthetic Biologists are increasingly interested in the idea of using synthetic feedback
control circuits for the mitigation of perturbations to gene regulatory networks that may arise …

[HTML][HTML] Machine Learning Tool for Analyzing Finite Buffer Queueing Systems

AS Alfa, H Abu Ghazaleh - Mathematics, 2025 - mdpi.com
Queueing delays are one very important performance measure for most engineering
network systems. Providing low-delay systems is a major goal of service providers, as it is a …

A multi-step least-squares method for nonlinear rational models

M Wang, EW Jacobsen, V Chotteau… - 2019 American …, 2019 - ieeexplore.ieee.org
Models rational in the parameters arise frequently in biosystems and other applications. As
with all models that are non-linear in the parameters, direct parameter estimation, using eg …

Robust Inference for Non-Linear Regression Models with Applications in Enzyme Kinetics

S Jana, A Ghosh - arXiv preprint arXiv:2409.15995, 2024 - arxiv.org
Despite linear regression being the most popular statistical modelling technique, in real-life
we often need to deal with situations where the true relationship between the response and …

Data-driven Bayesian estimation of Monod kinetics

K Colin, H Hjalmarsson, V Chotteau - arXiv preprint arXiv:2402.04727, 2024 - arxiv.org
In this paper, we consider the well known problem of non-linear identification of the rates of
the reactions involved in cells with Monod functions. In bioprocesses, generating data is very …

Estimation aspects of the Michaelis–Menten model

TL Toulias, CP Kitsos - REVSTAT-Statistical Journal, 2016 - revstat.ine.pt
This paper studies the Michaelis–Menten model (MM), which plays an important role in
pharmacokinetics, from a theoretical as well as a computational point of view. An analytical …

A compact review of Probability Models for Cancer

CP Kitsos, CS Nisiotis - Medical Research Archives, 2024 - esmed.org
The target of this paper is to review the main Probability models that have been proposed to
examine different problems in (experimental) carcinogenesis. The models have been …