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Metabolic pathway designa practical ...

Carbonell, Pablo.

Metabolic pathway designa practical guide /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Metabolic pathway designby Pablo Carbonell.
Reminder of title:	a practical guide /
Author:	Carbonell, Pablo.
Published:	Cham :Springer International Publishing :2019.
Description:	x, 168 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Genetic engineering.
Online resource:	https://doi.org/10.1007/978-3-030-29865-4
ISBN:	9783030298654$q(electronic bk.)

Metabolic pathway designa practical guide /
Carbonell, Pablo.

Metabolic pathway designa practical guide /[electronic resource] :by Pablo Carbonell. - Cham :Springer International Publishing :2019. - x, 168 p. :ill., digital ;24 cm. - Learning materials in biosciences,2509-6125. - Learning materials in biosciences..

Part 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.

This 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.

ISBN: 9783030298654$q(electronic bk.)

Standard No.: 10.1007/978-3-030-29865-4doiSubjects--Topical Terms:

189009
Genetic engineering.

LC Class. No.: TP248.6 / .C373 2019

Dewey Class. No.: 660.65

Metabolic pathway designa practical guide /
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245 1 0 $a Metabolic pathway design $h [electronic resource] : $b a practical guide / $c by Pablo Carbonell.
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505 0 $a Part 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 $a This 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.
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