Modeling Regulatory Networks at Virginia Tech
- 26 September 2003
- journal article
- research article
- Published by Mary Ann Liebert Inc in OMICS: A Journal of Integrative Biology
- Vol. 7 (3) , 285-299
- https://doi.org/10.1089/153623103322452404
Abstract
The life of a cell is governed by the physicochemical properties of a complex network of interacting macromolecules (primarily genes and proteins). Hence, a full scientific understanding of and rational engineering approach to cell physiology require accurate mathematical models of the spatial and temporal dynamics of these macromolecular assemblies, especially the networks involved in integrating signals and regulating cellular responses. The Virginia Tech Consortium is involved in three specific goals of DARPA's computational biology program (Bio-COMP): to create effective software tools for modeling gene-protein-metabolite networks, to employ these tools in creating a new generation of realistic models, and to test and refine these models by well-conceived experimental studies. The special emphasis of this group is to understand the mechanisms of cell cycle control in eukaryotes (yeast cells and frog eggs). The software tools developed at Virginia Tech are designed to meet general requirements of modeling regulatory networks and are collected in a problem-solving environment called JigCell.Keywords
This publication has 39 references indexed in Scilit:
- The systems biology markup language (SBML): a medium for representation and exchange of biochemical network modelsBioinformatics, 2003
- Programming environments for multidisciplinary Grid communitiesConcurrency and Computation: Practice and Experience, 2002
- Testing a Mathematical Model of the Yeast Cell CycleMolecular Biology of the Cell, 2002
- Mechanisms Controlling Subcellular Localization of the G1 Cyclins Cln2p and Cln3p in Budding YeastMolecular and Cellular Biology, 2001
- Algorithm 801: POLSYS_PLPACM Transactions on Mathematical Software, 2000
- E-CELL: software environment for whole-cell simulation.Bioinformatics, 1999
- Protein molecules as computational elements in living cellsNature, 1995
- Closing the cell cycle circle in yeast: G2 cyclin proteolysis initiated at mitosis persists until the activation of G1 cyclins in the next cycleCell, 1994
- Regulation of p34CDC28 tyrosine phosphorylation is not required for entry into mitosis in S. cerevisiaeNature, 1992
- S-phase feedback control in budding yeast independent of tyrosine phosphorylation of P34cdc28Nature, 1992