Literature DB >> 26360871

Heading in the right direction: thermodynamics-based network analysis and pathway engineering.

Meric Ataman1, Vassily Hatzimanikatis2.   

Abstract

Thermodynamics-based network analysis through the introduction of thermodynamic constraints in metabolic models allows a deeper analysis of metabolism and guides pathway engineering. The number and the areas of applications of thermodynamics-based network analysis methods have been increasing in the last ten years. We review recent applications of these methods and we identify the areas that such analysis can contribute significantly, and the needs for future developments. We find that organisms with multiple compartments and extremophiles present challenges for modeling and thermodynamics-based flux analysis. The evolution of current and new methods must also address the issues of the multiple alternatives in flux directionalities and the uncertainties and partial information from analytical methods.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2015        PMID: 26360871     DOI: 10.1016/j.copbio.2015.08.021

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  28 in total

1.  A portable structural analysis library for reaction networks.

Authors:  Yosef Bedaso; Frank T Bergmann; Kiri Choi; Kyle Medley; Herbert M Sauro
Journal:  Biosystems       Date:  2018-05-30       Impact factor: 1.973

2.  Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN.

Authors:  Maria Masid; Meric Ataman; Vassily Hatzimanikatis
Journal:  Nat Commun       Date:  2020-06-04       Impact factor: 14.919

3.  Mechanistic insights into bacterial metabolic reprogramming from omics-integrated genome-scale models.

Authors:  Noushin Hadadi; Vikash Pandey; Anush Chiappino-Pepe; Marian Morales; Hector Gallart-Ayala; Florence Mehl; Julijana Ivanisevic; Vladimir Sentchilo; Jan R van der Meer
Journal:  NPJ Syst Biol Appl       Date:  2020-01-07

4.  Automatic construction of metabolic models with enzyme constraints.

Authors:  Pavlos Stephanos Bekiaris; Steffen Klamt
Journal:  BMC Bioinformatics       Date:  2020-01-14       Impact factor: 3.169

5.  A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling.

Authors:  Supreeta Vijayakumar; Giuseppe Magazzù; Pradip Moon; Annalisa Occhipinti; Claudio Angione
Journal:  Methods Mol Biol       Date:  2022

6.  MRE: a web tool to suggest foreign enzymes for the biosynthesis pathway design with competing endogenous reactions in mind.

Authors:  Hiroyuki Kuwahara; Meshari Alazmi; Xuefeng Cui; Xin Gao
Journal:  Nucleic Acids Res       Date:  2016-04-29       Impact factor: 16.971

7.  PhenoMapping: a protocol to map cellular phenotypes to metabolic bottlenecks, identify conditional essentiality, and curate metabolic models.

Authors:  Anush Chiappino-Pepe; Vassily Hatzimanikatis
Journal:  STAR Protoc       Date:  2021-01-22

8.  Which sets of elementary flux modes form thermodynamically feasible flux distributions?

Authors:  Matthias P Gerstl; Christian Jungreuthmayer; Stefan Müller; Jürgen Zanghellini
Journal:  FEBS J       Date:  2016-03-31       Impact factor: 5.542

Review 9.  Quantification of Microbial Phenotypes.

Authors:  Verónica S Martínez; Jens O Krömer
Journal:  Metabolites       Date:  2016-12-09

10.  redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models.

Authors:  Meric Ataman; Daniel F Hernandez Gardiol; Georgios Fengos; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2017-07-20       Impact factor: 4.475

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