Literature DB >> 20729471

Mechanistic constraints from the substrate concentration dependence of enzymatic fluctuations.

Jeffrey R Moffitt1, Yann R Chemla, Carlos Bustamante.   

Abstract

The time it takes an enzyme to complete its reaction is a stochastic quantity governed by thermal fluctuations. With the advent of high-resolution methods of single-molecule manipulation and detection, it is now possible to observe directly this natural variation in the enzymatic cycle completion time and extract kinetic information from the statistics of its fluctuations. To this end, the inverse of the squared coefficient of variation, which we term n(min), is a useful measure of fluctuations because it places a strict lower limit on the number of kinetic states in the enzymatic mechanism. Here we show that there is a single general expression for the substrate dependence of n(min) for a wide range of kinetic models. This expression is governed by three kinetic parameters, which we term N(L), N(S), and alpha. These parameters have simple geometric interpretations and provide clear constraints on possible kinetic mechanisms. As a demonstration of this analysis, we fit the fluctuations in the dwell times of the packaging motor of the bacteriophage varphi29, revealing additional features of the nucleotide loading process in this motor. Because a diverse set of kinetic models display the same substrate dependence for their fluctuations, the expression for this general dependence may prove of use in the characterization and study of the dynamics of a wide range of enzymes.

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Year:  2010        PMID: 20729471      PMCID: PMC2936640          DOI: 10.1073/pnas.1006997107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

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Authors:  Yann R Chemla; K Aathavan; Jens Michaelis; Shelley Grimes; Paul J Jardine; Dwight L Anderson; Carlos Bustamante
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4.  Statistical kinetics of macromolecular dynamics.

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Authors:  Brian P English; Wei Min; Antoine M van Oijen; Kang Taek Lee; Guobin Luo; Hongye Sun; Binny J Cherayil; S C Kou; X Sunney Xie
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Review 6.  On helicases and other motor proteins.

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7.  Simulation and analysis of single-ribosome translation.

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8.  Exact solutions for kinetic models of macromolecular dynamics.

Authors:  Yann R Chemla; Jeffrey R Moffitt; Carlos Bustamante
Journal:  J Phys Chem B       Date:  2008-03-29       Impact factor: 2.991

9.  Statistical determination of the step size of molecular motors.

Authors:  K C Neuman; O A Saleh; T Lionnet; G Lia; J-F Allemand; D Bensimon; V Croquette
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Review 10.  Patch clamp techniques for studying ionic channels in excitable membranes.

Authors:  B Sakmann; E Neher
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  10 in total

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5.  A viral packaging motor varies its DNA rotation and step size to preserve subunit coordination as the capsid fills.

Authors:  Shixin Liu; Gheorghe Chistol; Craig L Hetherington; Sara Tafoya; K Aathavan; Joerg Schnitzbauer; Shelley Grimes; Paul J Jardine; Carlos Bustamante
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6.  Ribosome excursions during mRNA translocation mediate broad branching of frameshift pathways.

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7.  Active translocation of a semiflexible polymer assisted by an ATP-based molecular motor.

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Journal:  Sci Rep       Date:  2017-06-23       Impact factor: 4.379

8.  Variance-corrected Michaelis-Menten equation predicts transient rates of single-enzyme reactions and response times in bacterial gene-regulation.

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Journal:  Sci Rep       Date:  2015-12-04       Impact factor: 4.379

9.  Statistical analysis of molecular signal recording.

Authors:  Joshua I Glaser; Bradley M Zamft; Adam H Marblestone; Jeffrey R Moffitt; Keith Tyo; Edward S Boyden; George Church; Konrad P Kording
Journal:  PLoS Comput Biol       Date:  2013-07-18       Impact factor: 4.475

10.  Single-molecule theory of enzymatic inhibition.

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Journal:  Nat Commun       Date:  2018-02-22       Impact factor: 14.919

  10 in total

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