TY - BOOK ID - 80820930 TI - Pathway analysis and optimization in metabolic engineering AU - Torres, Nestor V. AU - Voit, Eberhard O. PY - 2002 SN - 9780511546334 9780521800389 9780521177481 0521800382 0511063229 9780511063220 0511546335 0511119259 9780511119255 051107168X 9780511071683 128016042X 9781280160424 1107130190 9781107130197 0521177480 9786610160426 6610160422 1139146963 9781139146968 0511056893 9780511056895 0511307470 9780511307478 PB - New York : Cambridge University Press, DB - UniCat KW - Biochemical engineering KW - Mathematical optimization. KW - System theory. KW - Systems, Theory of KW - Systems science KW - Science KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - Bio-process engineering KW - Bioprocess engineering KW - Biochemistry KW - Biotechnology KW - Chemical engineering KW - Mathematical models. KW - Philosophy UR - https://www.unicat.be/uniCat?func=search&query=sysid:80820930 AB - Facility in the targeted manipulation of the genetic and metabolic composition of organisms, combined with unprecedented computational power, is forging a niche for a new subspecialty of biotechnology called metabolic engineering. First published in 2002, this book introduces researchers and advanced students in biology and engineering to methods of optimizing biochemical systems of biotechnological relevance. It examines the development of strategies for manipulating metabolic pathways, demonstrates the need for effective systems models, and discusses their design and analysis, while placing special emphasis on optimization. The authors propose power-law models and methods of biochemical systems theory toward these ends. All concepts are derived from first principles, and the text is richly illustrated with numerous graphs and examples throughout. Special features include: nontechnical and technical introductions to models of biochemical systems; a review of basic methods of model design and analysis; concepts of optimization; and detailed case studies. ER -