Output details
11 - Computer Science and Informatics
Middlesex University
Article title
Population-based local search for protein folding simulation in the MJ energy model and cubic lattices
Type
D - Journal article
Title of journal
Computational Biology and Chemistry
Article number
-
Volume number
33
Issue number
4
First page of article
283
ISSN of journal
14769271
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
<28>The paper presents an experimental analysis of new local search procedures for protein folding simulations in three-dimensional lattices with the Miyazawa-Jernigan energy function. The new method identifies all global minima on prominent MJ-model benchmark problems and requires a significant smaller number of energy function evaluations when compared to Monte Carlo simulations with kink-jump moves. The paper is the result of collaborative research within the EPSRC project EP/D062012/1 and has recently inspired follow-up papers by other researchers, published, for example, in BMC Bioinformatics and GECCO 2013 ACM Proceedings.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
