Metabolic Network Analysis Demystified
Name
Berger - Metabolic Network.pdf
Size
124.57 KB
Format
Adobe PDF
Checksum (MD5)
b1cef7f25484cf542347f5b922adc078
Author(s)
Chindelevitch, Leonid
Regev, Aviv
Berger Leighton, Bonnie
Date Issued
2011
Journal
Research in Computational Molecular Biology
Publisher
Springer-Verlag
Citation
Chindelevitch, Leonid, Aviv Regev, and Bonnie Berger. Metabolic Network Analysis Demystified. Ed. Vineet Bafna, S. Cenk Shinalp. LNCS Sublibrary: SL 8 - Bioinformatics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. 31-33
Version
Author's final manuscript
Abstract
Metabolic networks are a representation of current knowledge about the metabolic reactions available to a given organism. These networks can be placed into various mathematical frameworks, of which the constraintbased framework [1] has received the most attention over the past 15 years. This results in a predictive model of metabolism. Metabolic models can yield predictions of two types: quantitative, such as the growth rate of an organism under given experimental conditions [2], and qualitative, such as the viability of a mutant [3] or minimal media required for growth [4]. Qualitative predictions, on which we focus, tend to be more robust and reliable than quantitative ones, while remaining experimentally testable and biologically relevant.
Description
15th Annual International Conference, RECOMB 2011, Vancouver, BC, Canada, March 28-31, 2011. Proceedings
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/978-3-642-20036-6_3
