Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractBrown Macroalgae (Phaeophyceae): A Valuable Reservoir of Antimicrobial Compounds on Northern Coast of Spain    Next AbstractAdolescent Exposure to Toxic Volatile Organic Chemicals From E-Cigarettes »

BMC Res Notes


Title:The effective application of a discrete transition model to explore cell-cycle regulation in yeast
Author(s):Rubinstein A; Hazan O; Chor B; Pinter RY; Kassir Y;
Address:"School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel"
Journal Title:BMC Res Notes
Year:2013
Volume:20130806
Issue:
Page Number:311 -
DOI: 10.1186/1756-0500-6-311
ISSN/ISBN:1756-0500 (Electronic) 1756-0500 (Linking)
Abstract:"BACKGROUND: Bench biologists often do not take part in the development of computational models for their systems, and therefore, they frequently employ them as 'black-boxes'. Our aim was to construct and test a model that does not depend on the availability of quantitative data, and can be directly used without a need for intensive computational background. RESULTS: We present a discrete transition model. We used cell-cycle in budding yeast as a paradigm for a complex network, demonstrating phenomena such as sequential protein expression and activity, and cell-cycle oscillation. The structure of the network was validated by its response to computational perturbations such as mutations, and its response to mating-pheromone or nitrogen depletion. The model has a strong predicative capability, demonstrating how the activity of a specific transcription factor, Hcm1, is regulated, and what determines commitment of cells to enter and complete the cell-cycle. CONCLUSION: The model presented herein is intuitive, yet is expressive enough to elucidate the intrinsic structure and qualitative behavior of large and complex regulatory networks. Moreover our model allowed us to examine multiple hypotheses in a simple and intuitive manner, giving rise to testable predictions. This methodology can be easily integrated as a useful approach for the study of networks, enriching experimental biology with computational insights"
Keywords:"*Cell Cycle *Models, Biological Saccharomyces cerevisiae/*cytology;"
Notes:"MedlineRubinstein, Amir Hazan, Ofir Chor, Benny Pinter, Ron Y Kassir, Yona eng Research Support, Non-U.S. Gov't England 2013/08/07 BMC Res Notes. 2013 Aug 6; 6:311. doi: 10.1186/1756-0500-6-311"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 26-12-2024