Boolean network model predicts cell cycle sequence of fission yeast

Biology – Quantitative Biology – Molecular Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 3 figures

Scientific paper

A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer, faithfully reproduces the known sequence of regulatory activity patterns along the cell cycle of the living cell. Contrary to existing differential equation models, no parameters enter the model except the structure of the regulatory circuitry. The dynamical properties of the model indicate that the biological dynamical sequence is robustly implemented in the regulatory network, with the biological stationary state G1 corresponding to the dominant attractor in state space, and with the biological regulatory sequence being a strongly attractive trajectory. Comparing the fission yeast cell-cycle model to a similar model of the corresponding network in S. cerevisiae, a remarkable difference in circuitry, as well as dynamics is observed. While the latter operates in a strongly damped mode, driven by external excitation, the S. pombe network represents an auto-excited system with external damping.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Boolean network model predicts cell cycle sequence of fission yeast does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Boolean network model predicts cell cycle sequence of fission yeast, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Boolean network model predicts cell cycle sequence of fission yeast will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-234183

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.