• Home
  • About us
  • Your Publication
  • Catalogue
  • Newsletter
  • Help
  • Account
  • Contact / Imprint
Thesis - Publication series - Conference proceedings - Reference book - Lecture notes/Textbook - Journal - CD-/DVD-ROM - Online publication
Newsletter for authors and editors - New publications service - Archive
View basket
Catalogue : Details

Philipp Schneider

Advances in Computational Strain Design with Minimal Cut Sets

FrontBack
 
ISBN:978-3-8440-8411-5
Series:Forschungsberichte aus dem Max-Planck-Institut für Dynamik komplexer technischer Systeme
Herausgeber: Prof. Dr. Peter Benner, Prof. Dr.-Ing. Udo Reichl, Prof. Dr.-Ing. Andreas Seidel-Morgenstern and Prof. Dr.-Ing. Kai Sundmacher
Magdeburg
Volume:54
Keywords:metabolic engineering; constraint-based modelling; Computational Strain Design
Type of publication:Thesis
Language:English
Pages:144 pages
Figures:22 figures
Weight:212 g
Format:21 x 14,8 cm
Bindung:Paperback
Price:45,80 € / 57,30 SFr
Published:January 2022
Buy:
  » plus shipping costs
DOI:10.2370/9783844084115 (Online document)
Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.

 
 DocumentDocument 
 TypePDF 
 Costs34,35 EUR 
 ActionPurchase in obligation and display of file - 1,6 MB (1669591 Byte) 
 ActionPurchase in obligation and download of file - 1,6 MB (1669591 Byte) 
     
 
 DocumentTable of contents 
 TypePDF 
 Costsfree 
 ActionDisplay of file - 158 kB (161413 Byte) 
 ActionDownload of file - 158 kB (161413 Byte) 
     
 
 DocumentAppendix 
 TypeZIP 
 Costsfree 
 Action   
 ActionDownload of file - 2,4 MB (2484195 Byte) 
     

User settings for registered users

You can change your address here or download your paid documents again.

User:  Not logged in.
Actions:  Login / Register
 Forgotten your password?
Recommendation:You want to recommend this title?
Review copy:Here you can order a review copy.
Link:You want to link this page? Click here.
Export citations:
Text
BibTex
RIS
Abstract:Metabolic engineering aims to manipulate metabolic networks for different purposes, ranging from the effective bioproduction of value-added chemicals with microorganisms to medical applications. The minimal cut set (MCS) method presents a powerful computational tool for the design of genome-scale metabolic networks. By the means of mixed integer linear programming (MILP), the MCS method identifies a minimal set of genetic intervention targets that reshapes a wild type metabolism according to a template of undesired and desired metabolic functions. This work presents theoretical and algorithmic advances for different stages of the MCS workflow. Many existing strain design approaches aim to enforce growth-coupled production, using different notions of the growth-coupling principle. A systematization of the existing notions into four different coupling degrees serves as a starting point for employing the MCS algorithm for growth-coupled strain design. The formalization of complex strain design tasks as MCS problems is often limited by the feature set of the traditional MCS algorithm. The specification of multiple desired and undesired flux spaces, the use of "optimality constraints", the declaration of reaction or gene addition candidates and the application of individual intervention costs generalize the MCS approach and allow the tailoring of the metabolic flux space with unprecedented precision. An MCS computation yields up to some thousand strain design candidates that can be further characterized with different criteria using computational methods. A subsequent ranking of strain designs helps to select the most promising candidate for experimental implementation.