Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction
文献类型：期刊论文
| 作者 | Chang, Catherine Ching Han; Song, Jiangning1,2; Tey, Beng Ti3; Ramanan, Ramakrishnan Nagasundara3 |
| 刊名 | BRIEFINGS IN BIOINFORMATICS
 |
| 出版日期 | 2014-11-01 |
| 卷号 | 15期号:6页码:953-962 |
| 关键词 | protein solubility heterologous expression in silico prediction intracellular expression machine learning algorithm prediction model |
| 英文摘要 | The solubility of recombinant protein expressed in Escherichia coli often represents the production yield. However, up-to-date, instances of successful production of soluble recombinant proteins in E. coli expression system with high yield remain scarce. This is mainly due to the difficulties in improving the overall production capacity, as most of the well-established strategies usually involve a series of trial and error steps with unguaranteed success. One way to concurrently improve the production yield and minimize the production cost would be incorporating the potency of bioinformatics tools to conduct in silico studies, which forecasts the outcome before actual experimental work. In this article, we review and compare seven prediction tools available, which predict the solubility of protein expressed in E. coli, using the following criteria: prediction performance, usability, utility, prediction tool development and validation methodologies. This comprehensive review will be a valuable resource for researchers with limited prior experience in bioinformatics tools. As such, this will facilitate their choice of appropriate tools for studies related to enhancement of intracellular recombinant protein production in E. coli. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Biochemical Research Methods ; Mathematical & Computational Biology |
| 研究领域[WOS] | Biochemistry & Molecular Biology ; Mathematical & Computational Biology |
| 关键词[WOS] | SUPPORT VECTOR MACHINES ; SEQUENCE-BASED PREDICTION ; STRUCTURAL GENOMICS ; SOLUBLE EXPRESSION ; CROSS-VALIDATION ; OVEREXPRESSION ; PROPENSITY ; SELECTION ; CLASSIFICATION ; AGGREGATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000345386100007 |
| 源URL | [http://124.16.173.210/handle/834782/1355]  |
| 专题 | 天津工业生物技术研究所_结构生物信息学和整合系统生物学实验室 宋江宁_期刊论文 |
| 作者单位 | 1.Monash Univ, Dept Biochem & Mol Biol, Bandar Sunway 46150, Selangor, Malaysia 2.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Beijing 100864, Peoples R China 3.Monash Univ, Chem Engn Discipline, Sch Engn, Bandar Sunway 46150, Selangor, Malaysia |
| 推荐引用方式 GB/T 7714 | Chang, Catherine Ching Han,Song, Jiangning,Tey, Beng Ti,et al. Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction[J]. BRIEFINGS IN BIOINFORMATICS,2014,15(6):953-962. |
| APA | Chang, Catherine Ching Han,Song, Jiangning,Tey, Beng Ti,&Ramanan, Ramakrishnan Nagasundara.(2014).Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction.BRIEFINGS IN BIOINFORMATICS,15(6),953-962. |
| MLA | Chang, Catherine Ching Han,et al."Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction".BRIEFINGS IN BIOINFORMATICS 15.6(2014):953-962. |
入库方式： OAI收割
来源：天津工业生物技术研究所
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