Literature DB >> 33399097

Using sliding mode observers to estimate BtuB concentration from measured vitamin B12 concentration.

Mohammad Abbadi1, Sarah Spurgeon2, Martin Warren3, Naziyat Khan4, Bernhard Kräutler5.   

Abstract

A simple model for the B12-riboswitch regulatory network in Escherichia coli is first described and the same analysis is applied when changing the strain to Salmonella enterica. Model validation is undertaken by linking the dynamics of the riboswitch model to bacterial growth and comparing the results obtained with in vivo experimental measurements. Measurements of bacterial growth are relatively straightforward to obtain experimentally, but experimental measurements relating to the operation of the riboswitch are more difficult. Using the validated model, sliding mode observer design methods are used to estimate BtuB given measurements of the concentration of vitamin B12. The sliding mode approach is selected because of its inherent robustness properties as well as for the ease of implementation. Validation of the estimates of BtuB produced by the observer is undertaken by comparing the BtuB and vitamin B12 concentrations estimated from the observer with green fluorescent protein production and the concentration of vitamin B12 obtained experimentally. These experimental results also provide further validation of the underpinning mathematical model. The results establish that using a sliding mode observer as a soft sensor is a useful approach to explore the operation of a vitamin B12 riboswitch given measurements of the concentration of vitamin B12.

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Year:  2020        PMID: 33399097      PMCID: PMC8687388          DOI: 10.1049/iet-syb.2020.0007

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  13 in total

1.  Dynamic behaviour of the B12 riboswitch.

Authors:  Moisés Santillán; Michael C Mackey
Journal:  Phys Biol       Date:  2005-03       Impact factor: 2.583

Review 2.  Transcriptional regulation by the numbers: applications.

Authors:  Lacramioara Bintu; Nicolas E Buchler; Hernan G Garcia; Ulrich Gerland; Terence Hwa; Jané Kondev; Thomas Kuhlman; Rob Phillips
Journal:  Curr Opin Genet Dev       Date:  2005-04       Impact factor: 5.578

3.  A Comparison of the Maximal Growth Rates of Various Bacteria under Optimal Conditions.

Authors:  M M Mason
Journal:  J Bacteriol       Date:  1935-02       Impact factor: 3.490

4.  Design criteria for synthetic riboswitches acting on transcription.

Authors:  Manja Wachsmuth; Gesine Domin; Ronny Lorenz; Robert Serfling; Sven Findeiß; Peter F Stadler; Mario Mörl
Journal:  RNA Biol       Date:  2015       Impact factor: 4.652

5.  An adaptor from translational to transcriptional control enables predictable assembly of complex regulation.

Authors:  Chang C Liu; Lei Qi; Julius B Lucks; Thomas H Segall-Shapiro; Denise Wang; Vivek K Mutalik; Adam P Arkin
Journal:  Nat Methods       Date:  2012-09-30       Impact factor: 28.547

6.  Feedback control of protein expression in mammalian cells by tunable synthetic translational inhibition.

Authors:  James A Stapleton; Kei Endo; Yoshihiko Fujita; Karin Hayashi; Masahiro Takinoue; Hirohide Saito; Tan Inoue
Journal:  ACS Synth Biol       Date:  2011-12-06       Impact factor: 5.110

7.  Design principles for riboswitch function.

Authors:  Chase L Beisel; Christina D Smolke
Journal:  PLoS Comput Biol       Date:  2009-04-17       Impact factor: 4.475

Review 8.  Linking aptamer-ligand binding and expression platform folding in riboswitches: prospects for mechanistic modeling and design.

Authors:  Fareed Aboul-ela; Wei Huang; Maaly Abd Elrahman; Vamsi Boyapati; Pan Li
Journal:  Wiley Interdiscip Rev RNA       Date:  2015-09-11       Impact factor: 9.957

Review 9.  Design of Artificial Riboswitches as Biosensors.

Authors:  Sven Findeiß; Maja Etzel; Sebastian Will; Mario Mörl; Peter F Stadler
Journal:  Sensors (Basel)       Date:  2017-08-30       Impact factor: 3.576

10.  Sliding mode controller-observer pair for p53 pathway.

Authors:  Muhammad Rizwan Azam; Vadim I Utkin; Ali Arshad Uppal; Aamer Iqbal Bhatti
Journal:  IET Syst Biol       Date:  2019-08       Impact factor: 1.615

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