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Analysis and Control of Genetic Toggle Switches Subject to Periodic Multi-Input Stimulation

Fiore, Davide; Guarino, Agostino; di Bernardo, Mario


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  <identifier identifierType="DOI">10.5281/zenodo.2668758</identifier>
  <creators>
    <creator>
      <creatorName>Fiore, Davide</creatorName>
      <givenName>Davide</givenName>
      <familyName>Fiore</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4011-5836</nameIdentifier>
      <affiliation>Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>Guarino, Agostino</creatorName>
      <givenName>Agostino</givenName>
      <familyName>Guarino</familyName>
      <affiliation>Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy</affiliation>
    </creator>
    <creator>
      <creatorName>di Bernardo, Mario</creatorName>
      <givenName>Mario</givenName>
      <familyName>di Bernardo</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2171-4745</nameIdentifier>
      <affiliation>1. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy; 2. Department of Engineering Mathematics, University of Bristol, University Walk, BS8 1TR Bristol, U.K.</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Analysis and Control of Genetic Toggle Switches Subject to Periodic Multi-Input Stimulation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Proteins</subject>
    <subject>Genetics</subject>
    <subject>Control systems</subject>
    <subject>Sociology</subject>
    <subject>Statistics</subject>
    <subject>Cell (biology)</subject>
    <subject>Mathematical model</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-09-06</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Preprint</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2668758</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2668757</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/cosy-bio</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;In this letter, we analyze a genetic toggle switch recently studied in the literature where the expression of two repressor proteins can be tuned by controlling two different inputs, namely the concentration of two inducer molecules in the growth medium of the cells. Specifically, we investigate the dynamics of this system when subject to pulse-width modulated inputs. We provide an analytical model that captures qualitatively the experimental observations reported in the literature and approximates its asymptotic behavior. We also discuss the effect that the system parameters have on the prediction accuracy of the model. Moreover, we propose a possible external control strategy to regulate the mean value of the fluorescence of the reporter proteins when the cells are subject to such periodic forcing.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/766840/">766840</awardNumber>
      <awardTitle>Control Engineering of Biological Systems for Reliable Synthetic Biology Applications</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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