Affordable Access

Synthesizing Stochasticity in Biochemical Systems

Authors
Publisher
California Institute of Technology
Publication Date
Disciplines
  • Biology
  • Chemistry
  • Design
  • Ecology
  • Engineering
  • Geography
  • Mathematics
  • Medicine

Abstract

Randomness is inherent to biochemistry: at each instant, the sequence of reactions that fires is a matter of chance. Some biological systems exploit such randomness, choosing between different outcomes stochastically – in effect, hedging their bets with a portfolio of responses for different environmental conditions. In this paper, we discuss techniques for synthesizing such stochastic behavior in engineered biochemical systems. We propose a general method for designing a set of biochemical reactions that produces different combinations of molecular types according to a specified probability distribution. The response is precise and robust to perturbations. Furthermore, it is programmable: the probability distribution is a function of the quantities of input types. The method is modular and extensible. We discuss strategies for implementing various functional dependencies: linear, logarithmic, exponential, etc. This work has potential applications in domains such as biochemical sensing, drug production, and disease treatment. Moreover, it provides a framework for analyzing and characterizing the stochastic dynamics in natural biochemical systems such as the lysis/lysogeny switch of the lambda bacteriophage.

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

Biogenesis of mitochondrial membranes: biochemical...

on Proceedings of the Society for... May 1970

Onset of stochasticity for some one-dimensional sy...

on Physica D Nonlinear Phenomena Jan 01, 1988

Stochasticity in quantum systems

on Physics Reports Jan 01, 1981
More articles like this..