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Output details

11 - Computer Science and Informatics

King's College London

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Article title

A hybrid approach to protein folding problem integrating constraint programming with local search

Type
D - Journal article
Title of journal
BMC Bioinformatics
Article number
S39
Volume number
11
Issue number
S1
First page of article
-
ISSN of journal
1471-2105
Year of publication
2010
URL
-
Number of additional authors
1
Additional information

<28>The paper proposes a hybrid approach to protein folding simulations that combines constraint programming and local search paradigms. Constraint programming approaches usually provide optimal results but become slow as the problem size grows. Local search approaches are usually faster but do not guarantee optimal solutions and tend to get stuck in local minima. The encouraging results obtained on the small proteins show that these two approaches can be combined efficiently to obtain better quality solutions within acceptable time. It also encourages research on adopting hybrid techniques to solve other hard optimization problems.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
A - Algorithms and Bioinformatics
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-