Document Detail


The Virtual Cell: a software environment for computational cell biology.
MedLine Citation:
PMID:  11587765     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The newly emerging field of computational cell biology requires software tools that address the needs of a broad community of scientists. Cell biological processes are controlled by an interacting set of biochemical and electrophysiological events that are distributed within complex cellular structures. Computational modeling is familiar to researchers in fields such as molecular structure, neurobiology and metabolic pathway engineering, and is rapidly emerging in the area of gene expression. Although some of these established modeling approaches can be adapted to address problems of interest to cell biologists, relatively few software development efforts have been directed at the field as a whole. The Virtual Cell is a computational environment designed for cell biologists as well as for mathematical biologists and bioengineers. It serves to aid the construction of cell biological models and the generation of simulations from them. The system enables the formulation of both compartmental and spatial models, the latter with either idealized or experimentally derived geometries of one, two or three dimensions.
Authors:
L M Loew; J C Schaff
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.; Review    
Journal Detail:
Title:  Trends in biotechnology     Volume:  19     ISSN:  0167-7799     ISO Abbreviation:  Trends Biotechnol.     Publication Date:  2001 Oct 
Date Detail:
Created Date:  2001-10-05     Completed Date:  2002-01-03     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  8310903     Medline TA:  Trends Biotechnol     Country:  England    
Other Details:
Languages:  eng     Pagination:  401-6     Citation Subset:  IM    
Affiliation:
Center for Biomedical Imaging Technology, Department of Physiology, University of Connecticut Health Center, Farmington, Connecticut 06030, USA. les@volt.uchc.edu
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MeSH Terms
Descriptor/Qualifier:
Biology / trends*
Cell Biology / trends*
Computer Simulation*
Models, Biological*
Software
Grant Support
ID/Acronym/Agency:
RR13186/RR/NCRR NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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