text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation
Search  
Awards
design element
Search Awards
Recent Awards
Presidential and Honorary Awards
About Awards
Grant Policy Manual
Grant General Conditions
Cooperative Agreement Conditions
Special Conditions
Federal Demonstration Partnership
Policy Office Website


Award Abstract #0425762
QSB: Computing Life and the Kinetics of the Cell


NSF Org: CBET
Division of Chemical, Bioengineering, Environmental, and Transport Systems
divider line
divider line
Initial Amendment Date: August 10, 2004
divider line
Latest Amendment Date: January 24, 2008
divider line
Award Number: 0425762
divider line
Award Instrument: Standard Grant
divider line
Program Manager: Fred G. Heineken
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG Directorate for Engineering
divider line
Start Date: September 1, 2004
divider line
Expires: August 31, 2008 (Estimated)
divider line
Awarded Amount to Date: $499994
divider line
Investigator(s): Jonathan Arnold arnold@arches.uga.edu (Principal Investigator)
Heinz-Bernd Schuttler (Co-Principal Investigator)
divider line
Sponsor: University of Georgia Research Foundation Inc
621-630 GRADUATE STUDIES
ATHENS, GA 30602 706/542-5939
divider line
NSF Program(s): MSPA-INTERDISCIPLINARY,
BIOTECH, BIOCHEM & BIOMASS ENG,
GENES AND GENOME SYSTEMS
divider line
Field Application(s): 0308000 Industrial Technology
divider line
Program Reference Code(s): BIOT, 9181, 7303, 1757, 1116
divider line
Program Element Code(s): 7454, 1491, 1112

ABSTRACT

Arnold

0425762

The main goal of this research is to implement and validate a novel approach towards quantitative functional genomics, referred to as the computing life paradigm, which integrates state-of-the-art experimental probes of the time-dependent intra-cellular kinetics with a recently proposed ensemble-based kinetics modeling technique. Its starting point are quantitative RNA and protein profiling experiments to monitor the cell's responses to controlled external perturbations such as gene knock-outs, protein inhibition and various time-dependent schedules of external food sources and starvation. The ensemble modeling technique then utilizes such time-dependent experimental data to not only constrain the topology and the parameter space of the genetic network model(s) under study; but also to make quantitative predictions and, most importantly, to provide quantitative criteria for the rational design of a "maximally informative next experiment". The full implementation of the computing life paradigm thus results in a workflow cycle wherein rationally designed new experiments further constrain the "ensemble of models" while the model ensemble becomes more and more refined and discriminating in its predictive capabilities. The initial applications of this approach will focus on two previously well explored genetic model systems in fungal organisms, specifically in Neurospora crassa, exhibiting widely different dynamical behavior: the quinic acid (qa) gene cluster, involved in transient responses of the cell's carbon metabolism; and the biological clock, the proto-type of an oscillatory system.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

(Showing: 1 - 8 of 8).

Deligiannidis, L, TR Taha, B Aleman-Meza, Y Yu, H.-B. Schuttler, & J Arnold.  "GKIN: a graphical user interface for KINSOLVER.,"  Proc. 2005 Inernational Arab Conference on Information Technology(ACIT?2005), Dec. 6-8, 2005, Amman, Jordan,  2005,  p. 245.

Dong, W, X Tang, Y Yu, J Griffith, R. Nilsen, D Choi, J Baldwin, L Hilton, K Kelps, J McGuire, R Morgan, M Smith, M Case, J Arnold, H-B Schuttler, Q Wang, J Liu, J Reeves, and D Logan.  "Systems biology of the Neurospora biological clock,"  IET Systems Biology,  v.1,  2007,  p. 257.

Dong, W, X Tang, Y. Yu, R. Nilsen, J. Griffith, J. Arnold, & H.-B. Schuttler.  "Systems biology of the clock in Neurospora crassa,"  PLoS One,  v.3,  2008,  p. 3105.

J. Arnold, W. Dong, J. Griffith, D. Choi, J. Baldwin, L. Hilton, K. Kelps, J. McGuire, R. Morgan, M. Smith, Q. Wang, J. Liu, J. Reeves, D. Logan, M. E. Case, and H.-B. Schuttler.  "Systems Biology of the Biological Clock,"  Proceedings of the First International Conference on Computational Systems Biology,  2006,  p. 119.

Logan, DA, AL Koch, W Dong, J Griffith, R Nilsen, ME Case, H-B Schuttler and J Arnold.  "Genome-wide expression analysis of genetic networks in Neurospora crassa,"  Bioinformation,  v.1,  2007,  p. 390.

M. Xiong and J. Arnold.  "Do genetic networks obey Kirchoff's and Ohm's Laws?,"  Proc. IASTED International Conference on Computational and SystemsBiology, Dallas, TX, November 13-14, 2006,  v.1,  2006,  p. 13.

Yu, Y, W. Dong, C Altimus, X. Tang, J. Griffith, M. Morello, L Dudek, J. Arnold & H-B Schuttler.  "A genetic network for the biological clock of Neurospora crassa,"  PNAS USA,  v.104,  2007,  p. 2809.

Yu, Yihai.  "Monte Carlo Studies of Genetic Networks with Special Reference to the Biological Clock of Neurospora crassa,"  University of Georgia Ph.D. Dissertation,  2005,  p. 1.


(Showing: 1 - 8 of 8).

 

Please report errors in award information by writing to: awardsearch@nsf.gov.

 

 

Print this page
Back to Top of page
  Web Policies and Important Links | Privacy | FOIA | Help | Contact NSF | Contact Web Master | SiteMap  
National Science Foundation
The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA
Tel: (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749
Last Updated:
April 2, 2007
Text Only


Last Updated:April 2, 2007