期刊
IEEE TRANSACTIONS ON INFORMATION THEORY
卷 62, 期 12, 页码 7358-7382出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2016.2599178
关键词
Biological information theory; Biological signaling; Biological signal transduction; Channel capacity; Molecular communication; Synthetic biology
资金
- Council for the International Exchange of Scholars
- National Science Foundation [DMS-0720142, EF-1038677, DMS-1413770]
- Natural Sciences and Engineering Research Council
- Simons Foundation [259837]
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [1413770] Funding Source: National Science Foundation
We model biochemical signal transduction, based on a ligand-receptor binding mechanism, as a discrete-time finite-state Markov channel, which we call the binding in discrete time channel. We show how to obtain the capacity of this channel, for the case of binary output, binary channel state, and arbitrary finite input alphabets. We show that the capacity-achieving input distribution is identically and independently distributed. Furthermore, we show that feedback does not increase the capacity of this channel. We show how the capacity of the discrete-time channel approaches the capacity of Kabanov's Poisson channel, in the limit of short time steps and rapid ligand release.
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