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1.
Bioinformatics ; 15(1): 72-84, 1999 Jan.
Article in English | MEDLINE | ID: mdl-10068694

ABSTRACT

MOTIVATION: Genome sequencing projects and further systematic functional analyses of complete gene sets are producing an unprecedented mass of molecular information for a wide range of model organisms. This provides us with a detailed account of the cell with which we may begin to build models for simulating intracellular molecular processes to predict the dynamic behavior of living cells. Previous work in biochemical and genetic simulation has isolated well-characterized pathways for detailed analysis, but methods for building integrative models of the cell that incorporate gene regulation, metabolism and signaling have not been established. We, therefore, were motivated to develop a software environment for building such integrative models based on gene sets, and running simulations to conduct experiments in silico. RESULTS: E-CELL, a modeling and simulation environment for biochemical and genetic processes, has been developed. The E-CELL system allows a user to define functions of proteins, protein-protein interactions, protein-DNA interactions, regulation of gene expression and other features of cellular metabolism, as a set of reaction rules. E-CELL simulates cell behavior by numerically integrating the differential equations described implicitly in these reaction rules. The user can observe, through a computer display, dynamic changes in concentrations of proteins, protein complexes and other chemical compounds in the cell. Using this software, we constructed a model of a hypothetical cell with only 127 genes sufficient for transcription, translation, energy production and phospholipid synthesis. Most of the genes are taken from Mycoplasma genitalium, the organism having the smallest known chromosome, whose complete 580 kb genome sequence was determined at TIGR in 1995. We discuss future applications of the E-CELL system with special respect to genome engineering. AVAILABILITY: The E-CELL software is available upon request. SUPPLEMENTARY INFORMATION: The complete list of rules of the developed cell model with kinetic parameters can be obtained via our web site at: http://e-cell.org/.


Subject(s)
Cell Physiological Phenomena , Cells/metabolism , Computer Simulation , Models, Biological , Software , Adenosine Triphosphate/metabolism , Artificial Intelligence , Computer Graphics , Data Display , Enzymes/metabolism , Gene Expression , Genetic Engineering , Protein Binding , Transcription, Genetic , User-Computer Interface
2.
Mutat Res ; 415(1-2): 79-83, 1998 Jul 08.
Article in English | MEDLINE | ID: mdl-9711264

ABSTRACT

Fragrant hydroxyfuranone and dihydroxypyranone derivatives generated in the Maillard reaction of sugars and amino acids are detected in various processed foods and have been shown active to break DNA single-strand in the in vitro studies. In the present study, absorption of 2,5-dimethyl-4-hydroxy-3(2 H)-furanone (DMHF) and 4-hydroxy-2(or 5)-ethyl-5(or 2)-methyl-3(2 H)-furanone (HEMF), both found in soy sauce, into plasma after a single intraperitoneal or oral administration at doses of 0.5-1.0 gkg-1 to mice was examined. Both compounds appeared in plasma 15 min after intraperitoneal administration and disappeared 2 h after the administration. They appeared in plasma 5 min after oral administration, reached maximum after 15-45 min, and gradually disappeared after 2 h, indicating that they are absorbed by the digestive tract. Both DMHF and HEMF induced micronucleated reticulocytes (MNRETs) in mouse peripheral blood in a dose-dependent manner after oral administration. The results indicate that DMHF and HEMF can cause genetic damage after oral administration.


Subject(s)
Furans/pharmacokinetics , Maillard Reaction , Reticulocytes/drug effects , Absorption , Administration, Oral , Animals , Furans/administration & dosage , Furans/blood , Mice , Micronucleus Tests , Molecular Structure
3.
Article in English | MEDLINE | ID: mdl-11072314

ABSTRACT

We present E-CELL, a generic computer software environment for modeling a cell and conducting experiments in silico. The E-CELL system allows a user to define functions of proteins, protein-protein interactions, protein-DNA interactions, regulation of gene expression and other features of cellular metabolism, in terms of a set of reaction rules. The system then executes those reactions iteratively, and the user can observe, through a computer display, dynamic changes in concentrations of proteins, protein complexes and other chemical compounds in the cell. Using this software, we constructed a model of a hypothetical cell with only 127 genes sufficient for transcription, translation, energy production and phospholipid synthesis. Most of the genes are taken from Mycoplasma genitalium, the organism having the smallest known chromosome, whose complete 580kb genome sequence was determined at TIGR in 1995. We discuss future applications of the E-CELL system with special respect to genome engineering.

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