Optimizing the codon usage of synthetic gene with QPSO algorithm.
Molecular Biology makes it possible to express foreign genes in microorganism, plants and animals. To improve the heterologous expression, it is important that the codon usage of sequence be optimized to make it adaptive to host organism. In this paper, a novel method based on Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is developed to optimize the codon usage of synthetic gene. Compared to the existing probability methods, QPSO is able to generate better results when DNA/RNA sequence length is less than 6Kb which is the commonly used range. While the software or web service based on probability method may not exclude all defined restriction sites when there are many undesired sites in the sequence, our proposed method can remove the undesired site efficiently during the optimization process.
Cai
Yujie
Y
Key Laboratory of Industrial Biotechnology, School of Biotechnology, JiangNan University, 1800 Lihu road, Wuxi, Jiangsu 214122, China. yu_jie_cai@yahoo.com.cn
Sun
Jun
J
Wang
Jie
J
Ding
Yanrui
Y
Tian
Na
N
Liao
Xiangru
X
Xu
Wenbo
W
D000465:Algorithms; D003062:Codon / Q000235:genetics*; D019143:Evolution, Molecular; D015870:Gene Expression; D005813:Genes, Synthetic; D006801:Humans; D008957:Models, Genetic
D003062:Codon