Stochastic yield analysis of self-assembling, single-enzyme reaction networks

Yuliy Baryshnikov, Ed Coffman, Teddy Yimwadsana

Research output: Contribution to conferencePaperpeer-review

Abstract

We investigate yield patterns in a class of reaction networks appearing naturally in many biochemical systems, and playing a crucial role in various designs of controllable self-assembling structures, nano-machines, and biocomputing. We approximate yields by the solutions of a linear system that arises in a formulation based on Markov chain theory. This approach avoids the intractability normally found in the systems of nonlinear ODE's of reaction networks. An example is worked out to illustrate the method.

Original languageEnglish (US)
Pages43-47
Number of pages5
StatePublished - Dec 1 2005
Externally publishedYes
Event2nd Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2005 - Snowbird, UT, United States
Duration: Apr 24 2005Apr 28 2005

Other

Other2nd Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2005
CountryUnited States
CitySnowbird, UT
Period4/24/054/28/05

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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