Recent Advances in Predicting Functional Impact of Single Amino Acid Polymorphisms: A Review of Useful Features, Computational Methods and Available Tools
文献类型：期刊论文
| 作者 | Wang, Mingjun1,2; Sun, Zhongwei3; Akutsu, Tatsuya4; Song, Jiangning1,2,4,5 |
| 刊名 | CURRENT BIOINFORMATICS
 |
| 出版日期 | 2013-04-01 |
| 卷号 | 8期号:2页码:161-176 |
| 关键词 | Bioinformatics computational methods feature selection in silico tool machine learning sequence analysis single amino acid polymorphism (SAP) |
| 英文摘要 | Owing to the biological significance of single amino acid polymorphism (SAP), there has been an increasing interest in understanding how certain amino acid substitutions give rise to functional change and consequent disease association, while others remain neutral polymorphisms. With the increasing availability of biological data, our knowledge regarding functional elements of the proteome continues to expand. As experimental approaches to characterize specific genetic variants are expensive and time-consuming, it is greatly desirable to develop effective computational methods that are capable of accurately predicting the functional impact of SAPs. In this review, we summarize 22 in silico tools that were previously developed and also discuss the related work of the functional impact prediction of SAPs that did not specifically develop webservers/tools. Procedures regarding how to extract annotations of SAPs and select the relevant useful features, as well as how to choose appropriate algorithms are also described in this review. In the end, a case study is given as an illustration to assess the predictive ability of available tools for predicting the functional consequence of SAPs. It is our hope that this review could serve as a useful guidance for developing next-generation in silico approaches for identification of the functional impacts of SAPs in the future. |
| 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 ; PROTEIN SECONDARY STRUCTURE ; GENE MUTATION DATABASE ; NUCLEOTIDE POLYMORPHISMS ; MISSENSE MUTATIONS ; ACCURATE PREDICTION ; DISEASE ASSOCIATION ; MENDELIAN DISEASE ; WEB SERVER ; DATA-BANK |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000320466700004 |
| 源URL | [http://124.16.173.210/handle/834782/1230]  |
| 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.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Natl Engn Lab Ind Enzymes, Tianjin 300308, Peoples R China 2.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Key Lab Syst Microbial Biotechnol, Tianjin 300308, Peoples R China 3.Suzhou Int Dev Venture Capital Holding Co Ltd, Suzhou 215128, Peoples R China 4.Kyoto Univ, Inst Chem Res, Bioinformat Ctr, Uji, Kyoto 6110011, Japan 5.Monash Univ, Dept Biochem & Mol Biol, Fac Med, Melbourne, Vic 3800, Australia |
| 推荐引用方式 GB/T 7714 | Wang, Mingjun,Sun, Zhongwei,Akutsu, Tatsuya,et al. Recent Advances in Predicting Functional Impact of Single Amino Acid Polymorphisms: A Review of Useful Features, Computational Methods and Available Tools[J]. CURRENT BIOINFORMATICS,2013,8(2):161-176. |
| APA | Wang, Mingjun,Sun, Zhongwei,Akutsu, Tatsuya,&Song, Jiangning.(2013).Recent Advances in Predicting Functional Impact of Single Amino Acid Polymorphisms: A Review of Useful Features, Computational Methods and Available Tools.CURRENT BIOINFORMATICS,8(2),161-176. |
| MLA | Wang, Mingjun,et al."Recent Advances in Predicting Functional Impact of Single Amino Acid Polymorphisms: A Review of Useful Features, Computational Methods and Available Tools".CURRENT BIOINFORMATICS 8.2(2013):161-176. |
入库方式： OAI收割
来源：天津工业生物技术研究所
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