Multiscale Computation of a Polypeptide Backbone Model

Physics – Condensed Matter – Materials Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Submitted to Journal of Computational Chemistry

Scientific paper

The multiscale Monte-Carlo algorithm outlined in Bai and Brandt[1] is applied to a simple model of the polypeptide backbone. Effective coarse level Hamiltonians are derived by a fast Newtonian iterative scheme. The coarse Hamiltonian parameters are adjusted so that local structural properties have the same value in both coarse and fine level simulations. It is demonstrated that at convergence of iterations, global structural properties are reproduced very well in coarse level simulations.

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

Multiscale Computation of a Polypeptide Backbone Model 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 Multiscale Computation of a Polypeptide Backbone Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multiscale Computation of a Polypeptide Backbone Model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-252332

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