Simulation Models for the Dynamic Analysis of Molecular-Genetic Control Systems. Part 2: Application of the discrete stochastic model to the system analysis of some elementary epigenetic control systems

✍ Scribed by R. Böttner; K. Bellmann

• Publisher: John Wiley and Sons
• Year: 1981
• Tongue: English
• Weight: 850 KB
• Volume: 23
• Category: Article
• ISSN: 0323-3847
• DOI: 10.1002/bimj.4710230807

✦ Synopsis

Abstract

The discrete stochastic model of the gene‐expression regulation — elaborated in the first part of this work — is used for the dynamic analysis of some simple molecular‐genetic control systems. The aim is the determination of stationary states and of their stability behaviour, the finding and understanding of the functional properties of the dynamics of epigenetic systems and the study of the integral behaviour (reliability) in case of stochastically disturbed single processes.

Connections between simple processes of the gene‐expression and partial sections of the secondary differentiation are investigated and an approach for the formal description of the overlapping and time coordination of simple differentiation programs are described.

For the mutant Lambda sus O~29~, which is unable to replicate, the regulation of the early development is investigated and a good congruence between experimental and theoretical results is obtained. Predictions on a hypothetic mutant and suggestions for experiments are made.