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 language | English |
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| Pages | 43-47 |
| Number of pages | 5 |
| Publication status | Published - Dec 1 2005 |
| Externally published | Yes |
| Event | 2nd Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2005 - Snowbird, UT, United States Duration: Apr 24 2005 → Apr 28 2005 |
Conference
| Conference | 2nd Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2005 |
|---|---|
| Country | United States |
| City | Snowbird, UT |
| Period | 4/24/05 → 4/28/05 |
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All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Baryshnikov, Y., Coffman, E., & Yimwadsana, T. (2005). Stochastic yield analysis of self-assembling, single-enzyme reaction networks. 43-47. Paper presented at 2nd Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2005, Snowbird, UT, United States.