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dc.contributor.authorSavageau, Michael A.en_US
dc.date.accessioned2006-09-11T19:41:59Z
dc.date.available2006-09-11T19:41:59Z
dc.date.issued1974-06en_US
dc.identifier.citationSavageau, Michael A.; (1974). "Optimal design of feedback control by inhibition." Journal of Molecular Evolution 4(2): 139-156. <http://hdl.handle.net/2027.42/48048>en_US
dc.identifier.issn0022-2844en_US
dc.identifier.issn1432-1432en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48048
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=4469274&dopt=citationen_US
dc.description.abstractA recently developed, nonlinear method of systems analysis has been used to compare alternative patterns of control by feedback inhibition in otherwise equivalent unbranched biosynthetic pathways. The steady state performance of the simple case with end-product inhibition at the first physiologically important step is optimal with respect to the following criteria: the ability to (i) meet an increased demand for the end-product, (ii) meet this increased demand with limited accumulation of the intermediates, (iii) respond to an increased supply of the initial substrate, and (iv) limit the accumulation of the intermediates while responding to the increased availability of the initial substrate. The importance of these properties for the selection of feedback patterns in biosynthetic pathways is discussed.en_US
dc.format.extent846202 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherBiosynthetic Pathwaysen_US
dc.subject.otherNatural Selectionen_US
dc.subject.otherPlant Sciencesen_US
dc.subject.otherCell Biologyen_US
dc.subject.otherMicrobiologyen_US
dc.subject.otherControl Patternsen_US
dc.subject.otherLife Sciencesen_US
dc.titleOptimal design of feedback control by inhibitionen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Microbiology, The University of Michigan, 48104, Ann Arbor, Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid4469274en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48048/1/239_2005_Article_BF01732019.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01732019en_US
dc.identifier.sourceJournal of Molecular Evolutionen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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