Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale metabolic modeling-Reference-Cited by-同舟云学术

Identification of anticancer drugs for hepatocellular carcinoma through personalized genome‐scale metabolic modeling

Published:2014-03 Issue:3 Volume:10 Page:721
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Agren Rasmus¹,Mardinoglu Adil¹,Asplund Anna²,Kampf Caroline²,Uhlen Mathias³⁴,Nielsen Jens¹³

Affiliation:

1. Department of Chemical and Biological Engineering Chalmers University of Technology Gothenburg Sweden

2. Department of Immunology, Genetics and Pathology Science for Life Laboratory Uppsala University Uppsala Sweden

3. Science for Life Laboratory KTH – Royal Institute of Technology Stockholm Sweden

4. Department of Proteomics KTH – Royal Institute of Technology Stockholm Sweden

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/msb.145122

Reference50 articles.

1. Reconstruction of Genome-Scale Active Metabolic Networks for 69 Human Cell Types and 16 Cancer Types Using INIT

2. The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum

3. Metabolic risk factors and primary liver cancer in a prospective study of 578,700 adults

4. Management of hepatocellular carcinoma: An update

5. Cancer metabolism: fatty acid oxidation in the limelight

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