FastPros: screening of reaction knockout strategies for metabolic engineering

نویسندگان

  • Satoshi Ohno
  • Hiroshi Shimizu
  • Chikara Furusawa
چکیده

MOTIVATION Although constraint-based flux analysis of knockout strains has facilitated the production of desirable metabolites in microbes, current screening methods have placed a limitation on the number knockouts that can be simultaneously analyzed. RESULTS Here, we propose a novel screening method named FastPros. In this method, the potential of a given reaction knockout for production of a specific metabolite is evaluated by shadow pricing of the constraint in the flux balance analysis, which generates a screening score to obtain candidate knockout sets. To evaluate the performance of FastPros, we screened knockout sets to produce each metabolite in the entire Escherichia coli metabolic network. We found that 75% of these metabolites could be produced under biomass maximization conditions by adding up to 25 reaction knockouts. Furthermore, we demonstrated that using FastPros in tandem with another screening method, OptKnock, could further improve target metabolite productivity. AVAILABILITY AND IMPLEMENTATION Source code is freely available at http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/FastPros/, implemented in MATLAB and COBRA toolbox.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

[Gene knockout strategies for metabolic pathway regulation in industrial microbes].

Gene knockout, an important technology in molecular biology, has been broadly applied in industrial microbial metabolic engineering. From the basic mechanism of DNA recombination, we summarized and compared in this review different gene knockout strategies. Three most hot and important approaches, including the lambda Red recombination system using the linear dsDNA as recombination substrate, t...

متن کامل

Efficient Simulation of a Random Knockout Tournament

We consider the problem of using simulation to efficiently estimate the win probabilities for participants in a general random knockout tournament. Both of our proposed estimators, one based on the notion of “observed survivals” and the other based on conditional expectation and post-stratification, are highly effective in terms of variance reduction when compared to the raw simulation estimato...

متن کامل

Predicting metabolic engineering knockout strategies for chemical production: accounting for competing pathways

MOTIVATION Computational modeling in metabolic engineering involves the prediction of genetic manipulations that would lead to optimized microbial strains, maximizing the production rate of chemicals of interest. Various computational methods are based on constraint-based modeling, which enables to anticipate the effect of genetic manipulations on cellular metabolism considering a genome-scale ...

متن کامل

Uncovering complex essential reaction sets in E. coli metabolism through pathway fragment analysis

Genome scale metabolic network models enable in silico knockout experiment design for the purposes of metabolic engineering, drug discovery, and improving the systems-level understanding of metabolism. Currently, the primary method for genome-scale in silico knockout design is flux balance analysis (FBA), which uses linear programming (LP) to exhaustively test the metabolic capabilities of all ...

متن کامل

Large-Scale Bi-Level Strain Design Approaches and Mixed-Integer Programming Solution Techniques

The use of computational models in metabolic engineering has been increasing as more genome-scale metabolic models and computational approaches become available. Various computational approaches have been developed to predict how genetic perturbations affect metabolic behavior at a systems level, and have been successfully used to engineer microbial strains with improved primary or secondary me...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 30  شماره 

صفحات  -

تاریخ انتشار 2014