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PMID: 2016886 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Theory of molecular machines. I. Channel capacity of molecular machines.

Journal of theoretical biology ·Vol. 148 ·No. 1 ·1991-01-07 ·Pages 83-123

Schneider TD

Abstract

Like macroscopic machines, molecular-sized machines are limited by their material components, their design, and their use of power. One of these limits is the maximum number of states that a machine can choose from. The logarithm to the base 2 of the number of states is defined to be the number of bits of information that the machine could "gain" during its operation. The maximum possible information gain is a function of the energy that a molecular machine dissipates into the surrounding medium (Py), the thermal noise energy which disturbs the machine (Ny) and the number of independently moving parts involved in the operation (dspace): Cy = dspace log2 [( Py + Ny)/Ny] bits per operation. This "machine capacity" is closely related to Shannon's channel capacity for communications systems. An important theorem that Shannon proved for communication channels also applies to molecular machines. With regard to molecular machines, the theorem states that if the amount of information which a machine gains is less than or equal to Cy, then the error rate (frequency of failure) can be made arbitrarily small by using a sufficiently complex coding of the molecular machine's operation. Thus, the capacity of a molecular machine is sharply limited by the dissipation and the thermal noise, but the machine failure rate can be reduced to whatever low level may be required for the organism to survive.

MeSH Terms
Animals DNA Information Theory Macromolecular Substances Models, Biological Thermodynamics
Chemicals
Macromolecular Substances DNA
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Schneider T D
Frederick Cancer Research and Development Center, Laboratory of Mathematical Biology, MD 21702.
Article Info
Journal
Journal of theoretical biology
Abbr.
J Theor Biol
ISSN
0022-5193
Published
1991-01-07
Pages
83-123
Language
English
Region
England
NLM ID
0376342
Subset
IM
Grants
NIGMS NIH HHS · GM28755 · United States
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