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On Parts And Wholes In Metabolism

H. Kacser
Published 1986 · Computer Science

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Historically, the progress of science has been driven by its analytical approach. Although the biological sciences have been lagging somewhat behind the physical sciences, the last fifty years or so have seen an increasing avalanche in the identification and description of the components of living organisms. Refined instrumentation and ingenious techniques have gone hand in hand with sophisticated mathematical models of molecular properties. The method of choice has been to cut up the organism into ever smaller pieces and look at the pieces in ever greater detail. We can now detect a single specific nucleotide among millions and measure the presence of a few molecules in a whole cell. We can describe the dynamics of internal molecular motions and calculate the thermodynamics of their transitions.



This paper is referenced by
10.1098/rsif.2017.0502
Mathematical modelling of microbes: metabolism, gene expression and growth
H. de Jong (2017)
BMC Medical Genomics
D. Kell (2008)
10.1111/J.1742-4658.2006.05136.X
Theodor Bücher Lecture. Metabolomics, modelling and machine learning in systems biology - towards an understanding of the languages of cells. Delivered on 3 July 2005 at the 30th FEBS Congress and the 9th IUBMB conference in Budapest.
D. Kell (2006)
10.1353/pbm.2006.0053
Putting the Systems Back into Systems Biology
A. Cornish-Bowden (2006)
10.1111/febs.12311
The search for organizing principles as a cure against reductionism in systems medicine
O. Wolkenhauer (2013)
10.1007/s12038-008-0097-5
Branch-point stoichiometry can generate weak links in metabolism: the case of glycine biosynthesis
E. Meléndez-Hevia (2008)
Catalysis at the Origin of Life Viewed in the Light of the ( M , R )-Systems of Robert
Rosen Athel Cornish-Bowden (2009)
10.1002/9781118537282.CH20
Systems Biology in Food and Nutrition Research
Matej Orešič (2013)
10.1186/1755-8794-2-2
Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases
D. B. Kell (2008)
10.1155/2014/934038
Tumor and the Microenvironment: A Chance to Reframe the Paradigm of Carcinogenesis?
M. Bizzarri (2014)
10.1016/j.biosystems.2019.104063
Contrasting theories of life: Historical context, current theories. In search of an ideal theory
A. Cornish-Bowden (2020)
10.1900/RDS.2012.9.236
Metabolomics in the studies of islet autoimmunity and type 1 diabetes.
Matej Orešič (2012)
10.1002/btpr.239
DATE analysis: A general theory of biological change applied to microarray data
D. Rasnick (2009)
10.1016/J.TIBTECH.2004.03.007
Metabolomics by numbers: acquiring and understanding global metabolite data.
R. Goodacre (2004)
Metabolic fingerprinting applied in diatom taxonomy
Siv Huseby (2012)
10.1042/BST0381220
Imaging tumour cell metabolism using hyperpolarized 13C magnetic resonance spectroscopy.
T. H. Witney (2010)
10.1586/14737159.6.4.575
Metabolomic approaches to phenotype characterization and applications to complex diseases
M. Orešič (2006)
10.1142/9789813108875_0009
The Biology of Free Will
M. Ho (2004)
10.1111/j.1742-4658.2006.05136.x
Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells
D. Kell (2006)
10.1007/8623_2015_185
Systems and Synthetic Biology in Hydrocarbon Microbiology: Tools
Víctor de Lorenzo (2015)
The importance of mathematics in systems biology
D. Kell (2009)
10.1080/15216540701694252
The virtual human: towards a global systems biology of multiscale, distributed biochemical network models.
D. Kell (2007)
10.1007/978-94-011-4072-0_1
Snapshots of Systems
D. Kell (2000)
10.1007/3-540-48773-5_3
Rapid analysis of high-dimensional bioprocesses using multivariate spectroscopies and advanced chemometrics.
A. Shaw (2000)
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