Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2007 Article ID 73109 11 pages doi 2007 73109 Research Article A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks Nestor Walter Trepode 1 Hugo Aguirre Armelin 2 Michael Bittner 3 Junior Barrera 1 Marco Dimas Gubitoso 1 and Ronaldo Fumio Hashimoto1 1 Institute of Mathematics and Statistics University ofSao Paulo Rua do Matao 1010 05508-090 Sao Paulo SP Brazil 2 Institute of Chemistry University ofSao Paulo Avenue Professor Lineu Prestes 748 05508-900 Sao Paulo SP Brazil 3 Translational Genomics Research Institute 445 N. Fifth Street Phoenix AZ 85004 USA Received 27 July 2006 Revised 24 November 2006 Accepted 10 March 2007 Recommended by Tatsuya Akutsu The cell division cycle comprises a sequence of phenomena controlled by a stable and robust genetic network. We applied a probabilistic genetic network PGN to construct a hypothetical model with a dynamical behavior displaying the degree of robustness typical of the biological cell cycle. The structure of our PGN model was inspired in well-established biological facts such as the existence of integrator subsystems negative and positive feedback loops and redundant signaling pathways. Our model represents genes interactions as stochastic processes and presents strong robustness in the presence of moderate noise and parameters fluctuations. A recently published deterministic yeast cell-cycle model does not perform as well as our PGN model even upon moderate noise conditions. In addition self stimulatory mechanisms can give our PGN model the possibility of having a pacemaker activity similar to the observed in the oscillatory embryonic cell cycle. Copyright 2007 Nestor Walter Trepode et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original
