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008			191105s2019 gw a o |||| 0|eng d
020			_a9783030298654
024	7		_a10.1007/978-3-030-29865-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTP248.6 _b2019 EB
100	1		_aCarbonell, Pablo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _975915
245	1	0	_aMetabolic Pathway Design : _bA Practical Guide _cby Pablo Carbonell.
250			_aFirst edition
264		1	_aCham, Switzerland _bSpringer International Publishing _c2019
300			_a1 recurso en línea (X, 168 páginas) _b44 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aLearning Materials in Biosciences _x2509-6125
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aPart I. Metabolic Pathway Modeling -- Getting on the Path to Engineering Biology -- Genome-Scale Modeling -- Pathway Modeling -- Modeling Chemical Diversity -- Part II. Metabolic Pathway Discovery -- Enzyme Discovery and Selection -- Pathway Discovery -- Pathway Selection -- Part III. Metabolic Pathway Design -- Pathway Design -- Pathway Redesign.
520	3		_aThis textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design of metabolic pathways. The first part explains the Design-Build-Test-Learn-cycle engineering approach to biology, discussing the basic tools to model biological and chemistry-based systems. Using these basic tools, the second part focuses on various computational protocols for metabolic pathway design, from enzyme selection to pathway discovery and enumeration. In the context of industrial biotechnology, the final part helps readers understand the challenges of scaling up and optimisation. By working with the free programming language Scientific Python, this book provides easily accessible tools for studying and learning the principles of modern in silico metabolic pathway design. Intended for advanced undergraduates and master's students in biotechnology, biomedical engineering, bioinformatics and systems biology students, the introductory sections make it also useful for beginners wanting to learn the basics of scientific coding and find real-world, hands-on examples.
988			_aPrimersemestre_2020_BiomedLife
650		7	_2embne _aIngeniería genética _9141520
650		7	_2embne _9139114 _aBiosíntesis
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030298647
776	0	8	_iPrinted edition: _z9783030298661
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-29865-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b05/2020 _dz _ea _zSI