Technological and Medical Implications of Metabolic Control by Douglas B. Kell, Pedro Mendes (auth.), Athel Cornish-Bowden,

Technological and Medical Implications of Metabolic Control by Douglas B. Kell, Pedro Mendes (auth.), Athel Cornish-Bowden,

By Douglas B. Kell, Pedro Mendes (auth.), Athel Cornish-Bowden, María Luz Cárdenas (eds.)

Two many years have handed because the mechanisms of protein synthesis grew to become good sufficient understood to allow the genetic amendment oforganisms. a powerful volume of latest wisdom has emerged from the hot expertise, yet a lot ofthe promise of20years in the past has notyet been fulfilled. In biotechnology, efforts to extend the yields of commercially useful metabolites were much less winning than ex­ pected, and once they have succeeded it has frequently been as a lot from selective breeding as from new equipment. The telephone is extra complex than what's provided within the classical educating of biochemistry, it includes extra constitution than was once dreamed of two decades in the past, and the behaviour ofany systemofenzymes is extra intricate than might be defined in phrases ofa unmarried supposedly rate-limiting enzyme. no matter if classical enzymology and meta­ bolism could have appeared really retro through the upward push ofmolecular biology, they continue to be important to any amendment ofthe metabolic behaviour oforganisms. As such amendment is key in a lot ofbiotechnology and drug improvement, bio­ technologists can simply forget about those subject matters at their peril.

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Q, Iyer, V. R. et al. (1998) Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization, Mol. Bioi. Cell 9,3273-3297 Stephanopoulos, G. & Simpson, T. W. (1997) Flux amplification in complex metabolic networks. Chern. Eng. Sci. , Zhu, Q et al. (1999) Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation, Proc. Natl. Acad. Sci. , Wade, W. , Rowland, J. J. & Kell, D.

A huge chasm exists at present between genomics and physiology, which must be closed if genomics is to fulfil its potential, already heavily embedded in the expectations of many pharmaceutical companies, to clarify bases for human disease and to identify effective targets for attack on pathogens. In spite of vast data sets, potent search and clustering algorithms, and great impact on biological research and biotechnology, genomics extends from databases only to certain aspects of protein biochemistry-physiology is still far in the distance, from this genomics side of the chasm.

In particular, if we can reasonably postulate the "goals" of a particular subset of cellular processes, then we can, by assuming that the cell controls its allocation of limited resources to this subsystem to maximally achieve these goals, predict the cell's actions. Taking a more specific example within the context of enzyme-catalysed metabolic pathways, by postulating the "goal" of a linear sequence of metabolic reactions (say, to operate at maximum rate) given a fixed allocation of resources to synthesize all of the enzymes in that pathway, one can solve the resulting optimization problem and "predict" the relative amounts of each enzyme that will be made by the cell.

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