Dynamic behaviors of protein-protein and protein-DNA interactions in living cells are investigated using the cell-cycle network and life-cycle network in budding yeast as model systems. Our analysis reveals important dynamic properties of the biological networks. In phase space, the resting states of the networks are global attractors, almost all initial protein states evolve to these stationary states, the biological pathways toward the stationary state are globally attracting trajectories. All initial states are through these well-defined sequences. The distributions of attractor size and pathway thickness of biological network are distinct from that of random networks. Perturbation analysis shows that these networks are dynamically stabl...
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. T...
Protein-protein interaction networks are increasingly used for understanding the structure and dynam...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2004.Includes bibliographi...
Recent progresses in the protein regulatory network of budding yeast Saccharomyces cerevisiae have p...
We study the dynamics of gene activities in relatively small size biological networks (up to a few t...
Recently, important insights into static network topology for biological systems have been obtained,...
Recently, important insights into static network topology for biological systems have been obtained,...
In the living cells, molecules including proteins, DNAs, RNAs and so on, with interactions between t...
The recent availability of high-throughput gene expression and proteomics techniques has created an ...
Studying the cell cycle process is crucial for understanding cell growth, proliferation, development...
Biological functions in living cells are controlled by protein interaction and genetic networks. The...
The budding yeast Saccharomyces cerevisiae is the first eukaryote whose genome has been completely s...
Gene and protein interaction networks have evolved to precisely specify cell fates and functions. He...
Gene and protein interaction networks have evolved to precisely specify cell fates and functions. He...
Gene and protein interaction networks have evolved to precisely specify cell fates and functions. He...
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. T...
Protein-protein interaction networks are increasingly used for understanding the structure and dynam...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2004.Includes bibliographi...
Recent progresses in the protein regulatory network of budding yeast Saccharomyces cerevisiae have p...
We study the dynamics of gene activities in relatively small size biological networks (up to a few t...
Recently, important insights into static network topology for biological systems have been obtained,...
Recently, important insights into static network topology for biological systems have been obtained,...
In the living cells, molecules including proteins, DNAs, RNAs and so on, with interactions between t...
The recent availability of high-throughput gene expression and proteomics techniques has created an ...
Studying the cell cycle process is crucial for understanding cell growth, proliferation, development...
Biological functions in living cells are controlled by protein interaction and genetic networks. The...
The budding yeast Saccharomyces cerevisiae is the first eukaryote whose genome has been completely s...
Gene and protein interaction networks have evolved to precisely specify cell fates and functions. He...
Gene and protein interaction networks have evolved to precisely specify cell fates and functions. He...
Gene and protein interaction networks have evolved to precisely specify cell fates and functions. He...
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. T...
Protein-protein interaction networks are increasingly used for understanding the structure and dynam...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2004.Includes bibliographi...