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A comparison of variant theories of intact biochemical systems. I. enzyme-enzyme interactions and biochemical systems theory

dc.contributor.authorSorribas, Alberten_US
dc.contributor.authorSavageau, Michael A.en_US
dc.date.accessioned2006-04-07T20:47:51Z
dc.date.available2006-04-07T20:47:51Z
dc.date.issued1989-06en_US
dc.identifier.citationSorribas, Albert, Savageau, Michael A. (1989/06)."A comparison of variant theories of intact biochemical systems. I. enzyme-enzyme interactions and biochemical systems theory." Mathematical Biosciences 94(2): 161-193. <http://hdl.handle.net/2027.42/27903>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45FKF2J-4C/2/2293e6cbd82c65a01440f10dcbeebcf3en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27903
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2520168&dopt=citationen_US
dc.description.abstractThe need for a well-structured theory of intact biochemical systems becomes increasingly evident as one attempts to integrate the vast knowledge of individual molecular constituents, which has been expanding for several decades. In recent years, several apparently different approaches to the development of such a theory have been proposed. Unfortunately, the resulting theories have not been distinguished from each other, and this has led to considerable confusion with numerous duplications and rediscoveries. Detailed comparisons and critical tests of alternative theories are badly needed to reverse these unfortunate developments. In this paper we (1) characterize a specific system involving enzyme-enzyme interactions for reference in comparing alternative theories, and (2) analyze the reference system by applying the explicit S-system variant within biochemical systems theory (BST), which represents a fundamental framework based upon the power-law formalism and includes several variants. The results provide the first complete and rigorous numerical analysis within the power-law formalism of a specific biochemical system and further evidence for the accuracy of the explicit S-system variant within BST. This theory is shown to represent enzyme-enzyme interactions in a systematically structured fashion that facilitates analysis of complex biochemical systems in which these interactions play a prominent role. This representation also captures the essential character of the underlying nonlinear processes over a wide range of variation (on average 20-fold) in the independent variables of the system. In the companion paper in this issue the same reference system is analyzed by other variants within BST as well as by two additional theories within the same power-law formalism--flux-oriented and metabolic control theories. The results show how all these theories are related to one another.en_US
dc.format.extent1924279 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA comparison of variant theories of intact biochemical systems. I. enzyme-enzyme interactions and biochemical systems theoryen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109-0620, USA.en_US
dc.contributor.affiliationumDepartment of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109-0620, USA.en_US
dc.identifier.pmid2520168en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27903/1/0000323.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(89)90064-3en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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