Traffic of interacting ribosomes: effects of single-machine mechano-chemistry on protein synthesis

Physics – Biological Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages including 3 EPS figures

Scientific paper

10.1103/PhysRevE.75.021902

Many ribosomes simultaneously move on the same messenger RNA (mRNA), each separately synthesizing the protein coded by the mRNA. Earlier models of ribosome traffic represent each ribosome by a ``self-propelled particle'' and capture the dynamics by an extension of the totally asymmetric simple exclusion process (TASEP). In contrast, here we develope a theoretical model that not only incorporates the mutual exclusions of the interacting ribosomes, but also describes explicitly the mechano-chemistry of each of these individual cyclic machines during protein synthesis. Using analytical and numerical techniques of non-equilibrium statistical mechanics, we analyze this model and illustrate its power by making experimentally testable predictions on the rate of protein synthesis in real time and the density profile of the ribosomes on some mRNAs in E-Coli.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Traffic of interacting ribosomes: effects of single-machine mechano-chemistry on protein synthesis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Traffic of interacting ribosomes: effects of single-machine mechano-chemistry on protein synthesis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Traffic of interacting ribosomes: effects of single-machine mechano-chemistry on protein synthesis will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-701987

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.