Characterizing and ranking computed metabolic engineering strategies | Zendy

Philipp Schneider | Zendy; Steffen Klamt | Zendy

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Characterizing and ranking computed metabolic engineering strategies

Author(s) -

Philipp Schneider,

Steffen Klamt

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty1065

Subject(s) - computer science , robustness (evolution) , flux balance analysis , ranking (information retrieval) , machine learning , bioinformatics , biology , biochemistry , gene

The computer-aided design of metabolic intervention strategies has become a key component of an integrated metabolic engineering approach and a broad range of methods and algorithms has been developed for this task. Many of these algorithms enforce coupling of growth with product synthesis and may return thousands of possible intervention strategies from which the most suitable strategy must then be selected.

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