Genome Research

Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Jamshidi, N.
Right arrow Articles by Palsson, B. O.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Jamshidi, N.
Right arrow Articles by Palsson, B. O.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Vol. 12, Issue 11, 1687-1692, November 2002

LETTER
In Silico Model-Driven Assessment of the Effects of Single Nucleotide Polymorphisms (SNPs) on Human Red Blood Cell Metabolism

Neema Jamshidi,1 Sharon J. Wiback,1 and Bernhard Ø. Palsson2

Department of Bioengineering, University of California-San Diego, La Jolla, California 92093-0412, USA

The completion of the human genome project and the construction of single nucleotide polymorphism (SNP) maps have lead to significant efforts to find SNPs that can be linked to pathophysiology. In silico models of complete biochemical reaction networks relate a cell's individual reactions to the function of the entire network. Sequence variations can in turn be related to kinetic properties of individual enzymes, thus allowing an in silico model-driven assessment of the effects of defined SNPs on overall cellular functions. This process is applied to defined SNPs in two key enzymes of human red blood cell metabolism: glucose-6-phosphate dehydrogenase and pyruvate kinase. The results demonstrate the utility of in silico models in providing insight into differences between red cell function in patients with chronic and nonchronic anemia. In silico models of complex cellular processes are thus likely to aid in defining and understanding key SNPs in human pathophysiology.

1 These authors contributed equally to this work.

2 Corresponding author.

12:1687-1692 ©2002 by Cold Spring Harbor Laboratory Press  ISSN 1088-9051/02 $5.00
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
 Biophys. JHome page
I. Famili, R. Mahadevan, and B. O. Palsson
k-Cone Analysis: Determining All Candidate Values for Kinetic Parameters on a Network Scale
Biophys. J., March 1, 2005; 88(3): 1616 - 1625.
[Abstract] [Full Text] [PDF]

Home page
 Biophys. JHome page
N. D. Price, J. Schellenberger, and B. O. Palsson
Uniform Sampling of Steady-State Flux Spaces: Means to Design Experiments and to Interpret Enzymopathies
Biophys. J., October 1, 2004; 87(4): 2172 - 2186.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
J. Merritt, J. R. DiTonno, R. D. Mitra, G. M. Church, and J. S. Edwards
Parallel competition analysis of Saccharomyces cerevisiae strains differing by a single base using polymerase colonies
Nucleic Acids Res., August 1, 2003; 31(15): e84 - e84.
[Abstract] [Full Text] [PDF]


Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
Genes Dev. Learn. Mem.
Protein Science RNA Genome Res.