Sampling protein energy landscapes - The quest for efficient algorithms

Authors

Ulrich H.E Hansmann, Michigan Technological UniversityFollow

Document Type

Article

Publication Date

9-13-2010

Department

Department of Physics

Abstract

Computer simulations aim to become virtual microscopes that can probe the working of cells on a molecular level. One of the remaining obstacles is still poor sampling. This chapter reviews strategies for faster sampling and discusses their limitations. Recent applications to protein folding document the utility of the described techniques.

Publisher's Statement

© Springer Science+Business Media, LLC 2011. All rights reserved. Publisher’s version of record: https://doi.org/10.1007/978-1-4419-6889-0_9

Publication Title

Multiscale Approaches to Protein Modeling: Structure Prediction, Dynamics, Thermodynamics and Macromolecular Assemblies

Recommended Citation

Hansmann, U. H. (2010). Sampling protein energy landscapes - The quest for efficient algorithms. Multiscale Approaches to Protein Modeling: Structure Prediction, Dynamics, Thermodynamics and Macromolecular Assemblies, 209-230. http://doi.org/10.1007/978-1-4419-6889-0_9
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/4031