IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction-Reference-Cited by-同舟云学术

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IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction

Published:2016-04 Issue: Volume:61 Page:229-237
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Gu Deqing,Zhang Cheng,Zhou Shengguo,Wei Liujing,Hua Qiang

Funder

National Basic Research Program of China

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference38 articles.

1. Integration of gene expression data into genome-scale metabolic models;Akesson;Metab. Eng.,2004

2. Enhancing sesquiterpene production in Saccharomyces cerevisiae through in silico driven metabolic engineering;Asadollahi;Metab. Eng.,2009

3. Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels;Atsumi;Nature,2008

4. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection;Baba;Molecular Systems Biology,2006

5. From genomes to in silico cells via metabolic networks;Borodina;Curr. Opin. Biotechnol.,2005

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3. FastKnock: an efficient next-generation approach to identify all knockout strategies for strain optimization;Microbial Cell Factories;2024-01-29

4. MetNetComp: Database for Minimal and Maximal Gene-Deletion Strategies for Growth-Coupled Production of Genome-Scale Metabolic Networks;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-11

5. FastKnock: An efficient next-generation approach to identify all knockout strategies for strain optimization;2023-07-10

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