Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction
Joint Authors
Rashid, Mahmood A.
Newton, M. A. Hakim
Hoque, Md Tamjidul
Sattar, Abdul
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Protein structure prediction (PSP) is computationally a very challenging problem.
The challenge largely comes from the fact that the energy function that needs to be minimised in order to obtain the native structure of a given protein is not clearly known.
A high resolution 20×20 energy model could better capture the behaviour of the actual energy function than a low resolution energy model such as hydrophobic polar.
However, the fine grained details of the high resolution interaction energy matrix are often not very informative for guiding the search.
In contrast, a low resolution energy model could effectively bias the search towards certain promising directions.
In this paper, we develop a genetic algorithm that mainly uses a high resolution energy model for protein structure evaluation but uses a low resolution HP energy model in focussing the search towards exploring structures that have hydrophobic cores.
We experimentally show that this mixing of energy models leads to significant lower energy structures compared to the state-of-the-art results.
American Psychological Association (APA)
Rashid, Mahmood A.& Newton, M. A. Hakim& Hoque, Md Tamjidul& Sattar, Abdul. 2013. Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction. BioMed Research International،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1005425
Modern Language Association (MLA)
Rashid, Mahmood A.…[et al.]. Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction. BioMed Research International No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-1005425
American Medical Association (AMA)
Rashid, Mahmood A.& Newton, M. A. Hakim& Hoque, Md Tamjidul& Sattar, Abdul. Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1005425
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1005425