Literature DB >> 2016881

Theory of molecular machines. II. Energy dissipation from molecular machines.

T D Schneider1.   

Abstract

Single molecules perform a variety of tasks in cells, from replicating, controlling and translating the genetic material to sensing the outside environment. These operations all require that specific actions take place. In a sense, each molecule must make tiny decisions. To make a decision, each "molecular machine" must dissipate an energy Py in the presence of thermal noise Ny. The number of binary decisions that can be made by a machine which has dspace independently moving parts is the "machine capacity" Cy = dspace log2 [(Py + Ny)/Ny]. This formula is closely related to Shannon's channel capacity for communications systems, C = W log2 [(P + N)/N]. This paper shows that the minimum amount of energy that a molecular machine must dissipate in order to gain one bit of information is epsilon min = kB T ln (2) joules/bit. This equation is derived in two distinct ways. The first derivation begins with the Second Law of Thermodynamics, which shows that the statement that there is a minimum energy dissipation is a restatement of the Second Law of Thermodynamics. The second derivation begins with the machine capacity formula, which shows that the machine capacity is also related to the Second Law of Thermodynamics. One of Shannon's theorems for communications channels is that as long as the channel capacity is not exceeded, the error rate may be made as small as desired by a sufficiently involved coding. This result also applies to the dissipation formula for molecular machines. So there is a precise upper bound on the number of choices a molecular machine can make for a given amount of energy loss. This result will be important for the design and construction of molecular computers.

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Year:  1991        PMID: 2016881     DOI: 10.1016/s0022-5193(05)80467-9

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  28 in total

1.  Evolution of biological information.

Authors:  T D Schneider
Journal:  Nucleic Acids Res       Date:  2000-07-15       Impact factor: 16.971

2.  The P1 phage replication protein RepA contacts an otherwise inaccessible thymine N3 proton by DNA distortion or base flipping.

Authors:  I G Lyakhov; P N Hengen; D Rubens; T D Schneider
Journal:  Nucleic Acids Res       Date:  2001-12-01       Impact factor: 16.971

3.  Molecular flip-flops formed by overlapping Fis sites.

Authors:  Paul N Hengen; Ilya G Lyakhov; Lisa E Stewart; Thomas D Schneider
Journal:  Nucleic Acids Res       Date:  2003-11-15       Impact factor: 16.971

4.  Twenty Years of Delila and Molecular Information Theory: The Altenberg-Austin Workshop in Theoretical Biology Biological Information, Beyond Metaphor: Causality, Explanation, and Unification Altenberg, Austria, 11-14 July 2002.

Authors:  Thomas D Schneider
Journal:  Biol Theory       Date:  2006

5.  Claude Shannon: biologist. The founder of information theory used biology to formulate the channel capacity.

Authors:  Thomas D Schneider
Journal:  IEEE Eng Med Biol Mag       Date:  2006 Jan-Feb

6.  Fast multiple alignment of ungapped DNA sequences using information theory and a relaxation method.

Authors:  Thomas D Schneider; David N Mastronarde
Journal:  Discrete Appl Math       Date:  1996-12-01       Impact factor: 1.139

7.  Sequence walkers: a graphical method to display how binding proteins interact with DNA or RNA sequences.

Authors:  T D Schneider
Journal:  Nucleic Acids Res       Date:  1997-11-01       Impact factor: 16.971

8.  The fitness landscapes of cis-acting binding sites in different promoter and environmental contexts.

Authors:  Ryan K Shultzaberger; Daniel S Malashock; Jack F Kirsch; Michael B Eisen
Journal:  PLoS Genet       Date:  2010-07-29       Impact factor: 5.917

9.  Protein-coding gene promoters in Methanocaldococcus (Methanococcus) jannaschii.

Authors:  Jian Zhang; Enhu Li; Gary J Olsen
Journal:  Nucleic Acids Res       Date:  2009-04-09       Impact factor: 16.971

10.  Information of the chassis and information of the program in synthetic cells.

Authors:  Antoine Danchin
Journal:  Syst Synth Biol       Date:  2009-10-10
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