A comparison of variant theories of intact biochemical systems. I. enzyme-enzyme interactions and biochemical systems theory
dc.contributor.author | Sorribas, Albert | en_US |
dc.contributor.author | Savageau, Michael A. | en_US |
dc.date.accessioned | 2006-04-07T20:47:51Z | |
dc.date.available | 2006-04-07T20:47:51Z | |
dc.date.issued | 1989-06 | en_US |
dc.identifier.citation | Sorribas, 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.uri | http://www.sciencedirect.com/science/article/B6VHX-45FKF2J-4C/2/2293e6cbd82c65a01440f10dcbeebcf3 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27903 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2520168&dopt=citation | en_US |
dc.description.abstract | The 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.extent | 1924279 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A comparison of variant theories of intact biochemical systems. I. enzyme-enzyme interactions and biochemical systems theory | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109-0620, USA. | en_US |
dc.contributor.affiliationum | Department of Microbiology and Immunology, The University of Michigan, Ann Arbor, Michigan 48109-0620, USA. | en_US |
dc.identifier.pmid | 2520168 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27903/1/0000323.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0025-5564(89)90064-3 | en_US |
dc.identifier.source | Mathematical Biosciences | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.