Towards more accurate prediction of protein folding rates: a review of the existing web-based bioinformatics approaches
文献类型：期刊论文
| 作者 | Chang, Catherine Ching Han1; Tey, Beng Ti2; Song, Jiangning3,4; Ramanan, Ramakrishnan Nagasundara2 |
| 刊名 | BRIEFINGS IN BIOINFORMATICS
 |
| 出版日期 | 2015-03-01 |
| 卷号 | 16期号:2页码:314-324 |
| 关键词 | prediction tool in silico prediction machine learning algorithm prediction model statistical analysis molecular biology |
| 英文摘要 | The understanding of protein-folding mechanisms is often considered to be an important goal that will enable structural biologists to discover the mysterious relationship between the sequence, structure and function of proteins. The ability to predict protein-folding rates without the need for actual experimental work will assist the research work of structural biologists in many ways. Many bioinformatics tools have emerged in the past decade, and each has showcased different features. In this article, we review and compare eight web-based prediction tools that are currently available and that predominantly predict the protein-folding rate. The prediction performance, usability and utility, together with the prediction tool development and validation methodologies for these tools, are critically reviewed. This article is presented in a comprehensible manner to assist readers in the process of selecting the most appropriate bioinformatics tools to meet their needs. |
| 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] | AMINO-ACID-SEQUENCE ; SUPPORT VECTOR MACHINE ; ESCHERICHIA-COLI ; STATISTICAL-METHODS ; CONTACT DISTANCE ; INCLUSION-BODY ; SOLUBILITY ; ORDER ; MODEL ; DATABASE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000352240000012 |
| 源URL | [http://124.16.173.210/handle/834782/1449]  |
| 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, Chem Engn, Selangor 46150, Malaysia 2.Monash Univ, Sch Engn, Chem Engn Discipline, Selangor 46150, Malaysia 3.Monash Univ, Fac Med, Dept Biochem & Mol Biol, Clayton, Vic 3800, Australia 4.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chang, Catherine Ching Han,Tey, Beng Ti,Song, Jiangning,et al. Towards more accurate prediction of protein folding rates: a review of the existing web-based bioinformatics approaches[J]. BRIEFINGS IN BIOINFORMATICS,2015,16(2):314-324. |
| APA | Chang, Catherine Ching Han,Tey, Beng Ti,Song, Jiangning,&Ramanan, Ramakrishnan Nagasundara.(2015).Towards more accurate prediction of protein folding rates: a review of the existing web-based bioinformatics approaches.BRIEFINGS IN BIOINFORMATICS,16(2),314-324. |
| MLA | Chang, Catherine Ching Han,et al."Towards more accurate prediction of protein folding rates: a review of the existing web-based bioinformatics approaches".BRIEFINGS IN BIOINFORMATICS 16.2(2015):314-324. |
入库方式： OAI收割
来源：天津工业生物技术研究所
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