Determining RNA secondary structure using set-based Particle Swarm Optimization

被引：0
|
作者：
Neethling, Marais [1 ]
Engelbrecht, A. P. [1 ]
机构：
[1] Univ Pretoria, Dept Comp Sci, ZA-0002 Pretoria, South Africa
来源：
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Determining RNA secondary structure computationally, rather than manually, has the advantage of being cheaper and quicker. This paper introduces a new Set-based Particle Swarm Optimization algorithm to optimize the structure of an RNA molecule, using an advanced thermodynamic model. Results show that it is possible to use this SetPSO algorithm to optimise RNA secondary structure and produce candidate RNA conformations.
引用
收藏
页码：1655 / +
页数：3
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