Characterizing the optimal flux space of genome-scale metabolic reconstructions through modified latin-hypercube sampling-Reference-Cited by-同舟云学术

Characterizing the optimal flux space of genome-scale metabolic reconstructions through modified latin-hypercube sampling

Published:2016 Issue:3 Volume:12 Page:994-1005
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Chaudhary Neha¹²³⁴⁵,Tøndel Kristin⁶⁷⁸⁹,Bhatnagar Rakesh¹²³⁴⁵,Martins dos Santos Vítor A. P.¹⁰¹¹¹²¹³¹⁴,Puchałka Jacek¹⁴¹⁵¹⁶¹⁷

Affiliation:

1. Laboratory of Genetic Engineering and Molecular Biology

2. School of Biotechnology

3. Jawaharlal Nehru University

4. New Delhi -110067

5. India

6. Department of Mathematical Sciences and Technology

7. Norwegian University of Life Sciences

8. 1432 Ås

9. Norway

10. Chair of Systems and Synthetic Biology

11. Wageningen University Dreijenplein 10

12. 6703 HB Wageningen

13. The Netherlands

14. Synthetic and Systems Biology Research Group

15. Helmholtz Centre for Infection Research

16. Braunschweig

17. Germany

Abstract

Sampling of the optimal flux space using modified LHS gives a more uniform coverage than Monte-Carlo Sampling. Analysis of the flux data shows that majority of variation in the flux distribution pattern within the space arises due to the presence of few alternate pathways.

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2016/MB/C5MB00457H

Reference58 articles.

1. Basic and applied uses of genome‐scale metabolic network reconstructions of Escherichia coli

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