Robustness, Stability and Efficiency of Phage lambda Gene Regulatory Network: Dynamical Structure Analysis

نویسندگان

  • X.-M. Zhu
  • L. Yin
  • L. Hood
  • P. Ao
چکیده

Based on the recently developed dynamical structure theory for complex networks and the seminal work of Shea and Ackers in the 1980’s, we formulate a transparent and concise mathematical framework for the gene regulatory network controlling phage λ life cycles, which naturally includes the stochastic effect. The dynamical structure theory states that the dynamics of a complex network is determined by its four elementary components: The dissipation (analogous to degradation) and stochastic force, the driving force determined by a potential and the transverse force. The potential may be interpreted as a landscape for the phage development in terms of attractive basins, saddle points, peaks and valleys. The dissipation gives rise to the adaptivity of the phage in the landscape defined by the potential: The phage always has the tendency to approach the bottom of the nearby attractive basin. The stochastic fluctuation gives the phage the ability to search around the potential landscape by passing through saddle points.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficiency, Robustness and Stochasticity of Gene Regulatory Networks in Systems Biology: lambda Switch as a Working Example

Phage λ is one of the most studied biological models in modern molecular biology. Over the past 50 years quantitative experimental knowledge on this biological model has been accumulated at all levels: physics, chemistry, genomics, proteomics, functions, and more. All its components have been known to a great detail. The theoretical task has been to integrate its components to make the organism...

متن کامل

Dynamical Analysis of Yeast Cell Cycle Using a Stochastic Markov Model

Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...

متن کامل

Dynamical Analysis of Yeast Cell Cycle Using a Stochastic Markov Model

Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. The relationship between the cell cycle network and cancer emergence, and the complex reciprocal interactions between genes/proteins calls for computational models to analyze this regulatory network. Ample experimental data confirm the existence of random behaviors in the interactions between gene...

متن کامل

طراحی و ساخت نانو زیست ذرات فاژی نوترکیب به عنوان کاندیدای حامل واکسن ژنی- خوراکی

  Background and Objective : Bacteriophage vectors recently have been considered as a gene transfer and vaccine delivery vehicles chiefly due to their low cost, safety, and physical stability. Since, little is known about phage mediated gene transfer in mammalian hosts, A group of invitro experiments were performed to ascertain gene transfercapability of these vehicles .   Materials and Methods...

متن کامل

Towards the Understanding of Stability Puzzles in Phage lambda

In their elegant work 1 Aurell and Sneppen developed a framework to quantify the robustness of a biological state. They have successfully applied their formulation to the robustness of the epigenetic state of the wild type phage λ, but concluded, and supported by their further numerical study 2 , that their model is not robust against various mutations in the gene regulatory network of phage λ....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004