Use of the Metropolis algorithm to simulate the dynamics of protein chains

Biology – Quantitative Biology – Other Quantitative Biology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

corrections to the text and to the figures

Scientific paper

10.1016/j.physa.2007.02.044

The Metropolis implementation of the Monte Carlo algorithm has been developed to study the equilibrium thermodynamics of many-body systems. Choosing small trial moves, the trajectories obtained applying this algorithm agree with those obtained by Langevin's dynamics. Applying this procedure to a simplified protein model, it is possible to show that setting a threshold of 1 degree on the movement of the dihedrals of the protein backbone in a single Monte Carlo step, the mean quantities associated with the off-equilibrium dynamics (e.g., energy, RMSD, etc.) are well reproduced, while the good description of higher moments requires smaller moves. An important result is that the time duration of a Monte Carlo step depends linearly on the temperature, something which should be accounted for when doing simulations at different temperatures.

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

Use of the Metropolis algorithm to simulate the dynamics of protein chains 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 Use of the Metropolis algorithm to simulate the dynamics of protein chains, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Use of the Metropolis algorithm to simulate the dynamics of protein chains will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-572553

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