The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 04, 2012
Filed:
Sep. 30, 2010
Xiaowu Liu, Nanjing, CN;
Yun He, Nanjing, CN;
Zhuying Wang, Monmouth Junction, NJ (US);
Chunjiao Wang, Nanjing, CN;
Zhibing Liu, Nanjing, CN;
Tianhui Xia, Edison, NJ (US);
Luquan Wang, East Brunswick, NJ (US);
Fang Liang Zhang, Fanwood, NJ (US);
Xiaowu Liu, Nanjing, CN;
Yun He, Nanjing, CN;
Zhuying Wang, Monmouth Junction, NJ (US);
Chunjiao Wang, Nanjing, CN;
Zhibing Liu, Nanjing, CN;
Tianhui Xia, Edison, NJ (US);
Luquan Wang, East Brunswick, NJ (US);
Fang Liang Zhang, Fanwood, NJ (US);
Nanjingjinsirui Science & Technology Biology Corp., Nanjing, CN;
Abstract
An improved gene sequence optimization method, the systematic optimization method, is described for boosting the recombinant expression of genes in bacteria, yeast, insect and mammalian cells. This general method takes into account of multiple, preferably most or all, of the parameters and factors affecting protein expression including codon usage, tRNA usage, GC-content, ribosome binding sequences, promoter, 5'-UTR, ORF and 3′-UTR sequences of the genes to improve and optimize the gene sequences to boost the protein expression of the genes in bacteria, yeast, insect and mammalian cells. In particular, the invention relates to a system and a method for sequence optimization for improved recombinant protein expression using a particle swarm optimization algorithm. The improved systematic optimization method can be incorporated into a software for more efficient optimization.