We introduce some new quantitative measures of fluctuations in the process of synthesis of proteins from a single messenger RNA (mRNA) template. We calculate the statistical distributions of these fluctuating quantities and extract the strength of the corresponding translational noise. For these calculations{\bf   we use a model that captures both the mechano-chemistry of each individual ribosome as well as their steric interactions in ribosome traffic on the same mRNA track. By comparing our results for a specific gene of the%DIFDELCMD < {\it %%% Escherichia coli bacteria with those for the corresponding homogeneous mRNA template, we demonstrate the effects of the sequence inhomogeneities of real genes on the fluctuations and noise . We also suggest {\it in-vitro} laboratory experimentsfor testing our theoretical predictions .
Proteins are polymerized by cyclic machines called ribosome which use their messenger RNA (mRNA) track also as the corresponding template and the process is called translation. We explore, in depth and detail, the stochastic nature of the translation. We compute various distributions associated with the translation process; one of them, namely dwell time distribution, has been measured in recent single ribosome experiments (Wen et al. Nature{\bf 452 , 598 (2008)). The form of this distribution predicted by our theory is consistent with that extracted from the experimental data. For our quantitative calculations, we use a model that captures both the mechano-chemistry of each individual ribosome as well as their steric interactions %DIFDELCMD < {\it %%% . We also demonstrate the effects of the sequence inhomogeneities of real genes on the fluctuations and noise in translation. In principle, our new predictions can be tested by carrying out {\it in-vitro} experiments .
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We introduce some new quantitative measures of fluctuations in the process of synthesis of proteins from a single
Proteins are polymerized by cyclic machines called ribosome which use their
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template. We calculate the statistical distributions of these fluctuating quantities and extract the strength of
track also as the corresponding template and the process is called translation. We explore, in depth and detail, the stochastic nature of
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corresponding translational noise. For these calculations
translation. We compute various distributions associated with the translation process; one of them, namely dwell time distribution, has been measured in recent single ribosome experiments (Wen et al. Nature
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452
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, 598 (2008)). The form of this distribution predicted by our theory is consistent with that extracted from the experimental data. For our quantitative calculations,
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in ribosome traffic on the same mRNA track. By comparing our results for a specific gene of the
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Escherichia coli
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bacteria with those for the corresponding homogeneous mRNA template, we
. We also
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. We also suggest
in translation. In principle, our new predictions can be tested by carrying out
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laboratory experimentsfor testing our theoretical predictions
experiments