Literature DB >> 28916392

Formulation, construction and analysis of kinetic models of metabolism: A review of modelling frameworks.

Pedro A Saa1, Lars K Nielsen2.   

Abstract

Kinetic models are critical to predict the dynamic behaviour of metabolic networks. Mechanistic kinetic models for large networks remain uncommon due to the difficulty of fitting their parameters. Recent modelling frameworks promise new ways to overcome this obstacle while retaining predictive capabilities. In this review, we present an overview of the relevant mathematical frameworks for kinetic formulation, construction and analysis. Starting with kinetic formalisms, we next review statistical methods for parameter inference, as well as recent computational frameworks applied to the construction and analysis of kinetic models. Finally, we discuss opportunities and limitations hindering the development of larger kinetic reconstructions.
Copyright © 2017. Published by Elsevier Inc.

Keywords:  Enzyme kinetics; Kinetic models; Metabolic control analysis; Metabolic modelling; Monte Carlo simulation; Parameter estimation

Mesh:

Year:  2017        PMID: 28916392     DOI: 10.1016/j.biotechadv.2017.09.005

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  18 in total

Review 1.  Metabolic kinetic modeling provides insight into complex biological questions, but hurdles remain.

Authors:  Jonathan Strutz; Jacob Martin; Jennifer Greene; Linda Broadbelt; Keith Tyo
Journal:  Curr Opin Biotechnol       Date:  2019-03-07       Impact factor: 9.740

Review 2.  Network reduction methods for genome-scale metabolic models.

Authors:  Dipali Singh; Martin J Lercher
Journal:  Cell Mol Life Sci       Date:  2019-11-20       Impact factor: 9.261

3.  Metabolic Modeling of Wine Fermentation at Genome Scale.

Authors:  Sebastián N Mendoza; Pedro A Saa; Bas Teusink; Eduardo Agosin
Journal:  Methods Mol Biol       Date:  2022

4.  A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions.

Authors:  Carolina H Chung; Sriram Chandrasekaran
Journal:  PNAS Nexus       Date:  2022-07-22

Review 5.  Quantitative metabolic fluxes regulated by trans-omic networks.

Authors:  Satoshi Ohno; Saori Uematsu; Shinya Kuroda
Journal:  Biochem J       Date:  2022-03-31       Impact factor: 3.766

6.  Bayesian inference of metabolic kinetics from genome-scale multiomics data.

Authors:  Peter C St John; Jonathan Strutz; Linda J Broadbelt; Keith E J Tyo; Yannick J Bomble
Journal:  PLoS Comput Biol       Date:  2019-11-04       Impact factor: 4.475

7.  Statistical inference in ensemble modeling of cellular metabolism.

Authors:  Tuure Hameri; Marc-Olivier Boldi; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2019-12-09       Impact factor: 4.475

Review 8.  Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering.

Authors:  Mohamed Helmy; Derek Smith; Kumar Selvarajoo
Journal:  Metab Eng Commun       Date:  2020-10-09

9.  The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli.

Authors:  Tuure Hameri; Georgios Fengos; Vassily Hatzimanikatis
Journal:  BMC Bioinformatics       Date:  2021-03-20       Impact factor: 3.169

10.  Integrating systemic and molecular levels to infer key drivers sustaining metabolic adaptations.

Authors:  Pedro de Atauri; Míriam Tarrado-Castellarnau; Josep Tarragó-Celada; Carles Foguet; Effrosyni Karakitsou; Josep Joan Centelles; Marta Cascante
Journal:  PLoS Comput Biol       Date:  2021-07-23       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.