New Monte Carlo algorithms for protein folding
Document Type
Article
Publication Date
1-1-1999
Abstract
Over the past three decades, a number of powerful simulation algorithms have been introduced to the protein folding problem. For many years, the emphasis has been placed on how to both overcome the multiple minima problem and find the conformation with the global minimum potential energy. Since the new view of the protein folding mechanism (based on the free energy landscape of the protein system) arose in the past few years, however, it is now of interest to obtain a global knowledge of the phase space, including the intermediate and denatured states of proteins. Monte Carte methods have proved especially valuable for these purposes. As well as new, powerful optimization techniques, novel algorithms that can sample much a wider phase space than conventional methods have been established.
Publication Title
Current Opinion in Structural Biology
Recommended Citation
Hansmann, U.,
&
Okamoto, Y.
(1999).
New Monte Carlo algorithms for protein folding.
Current Opinion in Structural Biology,
9(2), 177-183.
http://doi.org/10.1016/S0959-440X(99)80025-6
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/7635