Literature DB >> 20813422

Indistinguishability and identifiability of kinetic models for the MurC reaction in peptidoglycan biosynthesis.

J G Hattersley1, J Pérez-Velázquez, M J Chappell, D Bearup, D Roper, C Dowson, T Bugg, N D Evans.   

Abstract

An important question in Systems Biology is the design of experiments that enable discrimination between two (or more) competing chemical pathway models or biological mechanisms. In this paper analysis is performed between two different models describing the kinetic mechanism of a three-substrate three-product reaction, namely the MurC reaction in the cytoplasmic phase of peptidoglycan biosynthesis. One model involves ordered substrate binding and ordered release of the three products; the competing model also assumes ordered substrate binding, but with fast release of the three products. The two versions are shown to be distinguishable; however, if standard quasi-steady-state assumptions are made distinguishability cannot be determined. Once model structure uniqueness is ensured the experimenter must determine if it is possible to successfully recover rate constant values given the experiment observations, a process known as structural identifiability. Structural identifiability analysis is carried out for both models to determine which of the unknown reaction parameters can be determined uniquely, or otherwise, from the ideal system outputs. This structural analysis forms an integrated step towards the modelling of the full pathway of the cytoplasmic phase of peptidoglycan biosynthesis.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20813422     DOI: 10.1016/j.cmpb.2010.07.009

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  2 in total

1.  Comparative transcriptomic analysis of Lactiplantibacillus plantarum RS66CD biofilm in high-salt conditions and planktonic cells.

Authors:  Xiaolin Ao; Jiawei Zhao; Junling Yan; Shuliang Liu; Ke Zhao
Journal:  PeerJ       Date:  2020-08-03       Impact factor: 2.984

2.  Kinetic modeling of Stickland reactions-coupled methanogenesis for a methanogenic culture.

Authors:  C Sangavai; M Bharathi; Shilpkar P Ganesh; P Chellapandi
Journal:  AMB Express       Date:  2019-06-10       Impact factor: 3.298

  2 in total

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