Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Folding small proteins via annealing stochastic approximation Monte Carlo
- Authors
- Cheon, Sooyoung; Liang, Faming
- Issue Date
- Sep-2011
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Protein folding; Secondary structure; Markov chain Monte Carlo; Annealing stochastic approximation Monte Carlo
- Citation
- BIOSYSTEMS, v.105, no.3, pp.243 - 249
- Indexed
- SCIE
SCOPUS
- Journal Title
- BIOSYSTEMS
- Volume
- 105
- Number
- 3
- Start Page
- 243
- End Page
- 249
- ISSN
- 0303-2647
- Abstract
- Recently, the stochastic approximation Monte Carlo algorithm has been proposed by Liang et al. (2007) as a general-purpose stochastic optimization and simulation algorithm. An annealing version of this algorithm was developed for real small protein folding problems. The numerical results indicate that it outperforms simulated annealing and conventional Monte Carlo algorithms as a stochastic optimization algorithm. We also propose one method for the use of secondary structures in protein folding. The predicted protein structures are rather close to the true structures. (C) 2011 Elsevier Ireland Ltd. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School > Department of Applied Statistics > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.