Literature DB >> 14583117

Modeling regulatory networks at Virginia Tech.

Nicholas A Allen1, Laurence Calzone, Katherine C Chen, Andrea Ciliberto, Naren Ramakrishnan, Clifford A Shaffer, Jill C Sible, John J Tyson, Marc T Vass, Layne T Watson, Jason W Zwolak.   

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.

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Year:  2003        PMID: 14583117     DOI: 10.1089/153623103322452404

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  4 in total

1.  Integrative analysis of cell cycle control in budding yeast.

Authors:  Katherine C Chen; Laurence Calzone; Attila Csikasz-Nagy; Frederick R Cross; Bela Novak; John J Tyson
Journal:  Mol Biol Cell       Date:  2004-05-28       Impact factor: 4.138

Review 2.  Mathematical modeling as a tool for investigating cell cycle control networks.

Authors:  Jill C Sible; John J Tyson
Journal:  Methods       Date:  2007-02       Impact factor: 3.608

3.  Analysis of a generic model of eukaryotic cell-cycle regulation.

Authors:  Attila Csikász-Nagy; Dorjsuren Battogtokh; Katherine C Chen; Béla Novák; John J Tyson
Journal:  Biophys J       Date:  2006-03-31       Impact factor: 4.033

4.  Modeling molecular regulatory networks with JigCell and PET.

Authors:  Clifford A Shaffer; Jason W Zwolak; Ranjit Randhawa; John J Tyson
Journal:  Methods Mol Biol       Date:  2009
  4 in total

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