Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing

The process of designing a set of good DNA sequences is an essential problem and one of the most practical and important research topics in DNA-based computing. In this field of research, a DNA sequence design problem is defined as a multi-objective problem, and it is evaluated using four objective...

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Main Authors: Zuwairie, Ibrahim, Mohd Falfazli, Mat Jusof, Mohd Zaidi, Mohd Tumari
Format: Conference or Workshop Item
Published: 2014
Subjects:
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author Zuwairie, Ibrahim
Mohd Falfazli, Mat Jusof
Mohd Zaidi, Mohd Tumari
author_facet Zuwairie, Ibrahim
Mohd Falfazli, Mat Jusof
Mohd Zaidi, Mohd Tumari
author_sort Zuwairie, Ibrahim
collection UMP
description The process of designing a set of good DNA sequences is an essential problem and one of the most practical and important research topics in DNA-based computing. In this field of research, a DNA sequence design problem is defined as a multi-objective problem, and it is evaluated using four objective functions, which are h-measure, similarity, continuity, and hairpin. In addition, two constraints, GC content and melting temperature, are used to maintain uniform chemical characteristics of the sequences. In the authors' previous research, ant colony system (ACS) was proposed to solve the DNA sequence design problem and the Watson-Crick base pair ΔGo37 was used as the distance between nodes in the computational model of DNA sequence design. In the current study, the use of other parameters, namely, Breslauer nearest-neighbour thermodynamic parameters are investigated and the result is compared with the previous work.
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spelling UMPir92242018-02-21T03:16:41Z http://umpir.ump.edu.my/id/eprint/9224/ Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing Zuwairie, Ibrahim Mohd Falfazli, Mat Jusof Mohd Zaidi, Mohd Tumari TK Electrical engineering. Electronics Nuclear engineering The process of designing a set of good DNA sequences is an essential problem and one of the most practical and important research topics in DNA-based computing. In this field of research, a DNA sequence design problem is defined as a multi-objective problem, and it is evaluated using four objective functions, which are h-measure, similarity, continuity, and hairpin. In addition, two constraints, GC content and melting temperature, are used to maintain uniform chemical characteristics of the sequences. In the authors' previous research, ant colony system (ACS) was proposed to solve the DNA sequence design problem and the Watson-Crick base pair ΔGo37 was used as the distance between nodes in the computational model of DNA sequence design. In the current study, the use of other parameters, namely, Breslauer nearest-neighbour thermodynamic parameters are investigated and the result is compared with the previous work. 2014 Conference or Workshop Item PeerReviewed Zuwairie, Ibrahim and Mohd Falfazli, Mat Jusof and Mohd Zaidi, Mohd Tumari (2014) Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing. In: 8th Asia Modelling Symposium (AMS 2014) , 23-25 September 2014 , Taipei. pp. 5-9.. (Published) http://dx.doi.org/10.1109/AMS.2014.13
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zuwairie, Ibrahim
Mohd Falfazli, Mat Jusof
Mohd Zaidi, Mohd Tumari
Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
title Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
title_full Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
title_fullStr Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
title_full_unstemmed Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
title_short Ant Colony Optimisation with Breslauer Nearest-Neighbour Thermodynamic Parameter for DNA Sequence Design in DNA Computing
title_sort ant colony optimisation with breslauer nearest neighbour thermodynamic parameter for dna sequence design in dna computing
topic TK Electrical engineering. Electronics Nuclear engineering
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