Prediction of peptidase category based on functional domain composition
文献类型：期刊论文
| 作者 | Xu, XiaoChun2; Yu, Dong2; Fang, Wei2; Cheng, Yushao3; Qian, Ziliang4,5; Lu, WenCong6; Cai, Yudong1; Feng, Kaiyan7 |
| 刊名 | Journal of proteome research
 |
| 出版日期 | 2008-10-01 |
| 卷号 | 7期号:10页码:4521-4524 |
| 关键词 | Peptidases The nearest neighbor algorithm Blast Functional domain composition |
| ISSN号 | 1535-3893 |
| DOI | 10.1021/pr800292w |
| 通讯作者 | Cai, yudong(cyd@picb.ac.cn) |
| 英文摘要 | Peptidases play pivotal regulatory roles in conception, birth, digestion, growth, maturation, aging, and death of all organisms. these regulatory roles include activation, synthesis and turnover of proteins. in the proteomics era, computational methods to identify peptidases and catalog the peptidases into six different major classes-aspartic peptidases, cysteine peptidases, glutamic peptidases, metallo peptidases, serine peptidases and threonine peptidases-can give an instant glance at the biological functions of a newly identified protein. in this contribution, by combining the nearest neighbor algorithm and the functional domain composition, we introduce both an automatic peptidase identifier and an automatic peptidase classier. the successful identification and classification rates are 93.7% and 96.5% for our peptidase identifier and peptidase classifier, respectively. free online peptidase identifier and peptidase classifier are provided on our web page http://pcal.biosino.org/protease_classification.html. |
| WOS关键词 | PROTEIN SUBCELLULAR LOCATION ; NEAREST-NEIGHBOR ALGORITHM ; AMINO-ACID-COMPOSITION ; CLASSIFICATION ; LOCALIZATION ; DATABASE |
| WOS研究方向 | Biochemistry & Molecular Biology |
| WOS类目 | Biochemical Research Methods |
| 语种 | 英语 |
| WOS记录号 | WOS:000259784300030 |
| 出版者 | AMER CHEMICAL SOC |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2388641 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Cai, Yudong |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, Shanghai 200031, Peoples R China 2.Huazhong Univ Sci & Technol, Dept Life Sci & Technol, Wuhan 430074, Peoples R China 3.Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China 4.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 5.Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Mol Syst Biol, Bioinformat Ctr, Shanghai 200031, Peoples R China 6.Shanghai Univ, Coll Sci, Dept Chem, Lab Chem Data Min, Shanghai 200444, Peoples R China 7.Univ Manchester, Div Imaging Sci & Biomed Engn, Manchester M13 9PT, Lancs, England |
| 推荐引用方式 GB/T 7714 | Xu, XiaoChun,Yu, Dong,Fang, Wei,et al. Prediction of peptidase category based on functional domain composition[J]. Journal of proteome research,2008,7(10):4521-4524. |
| APA | Xu, XiaoChun.,Yu, Dong.,Fang, Wei.,Cheng, Yushao.,Qian, Ziliang.,...&Feng, Kaiyan.(2008).Prediction of peptidase category based on functional domain composition.Journal of proteome research,7(10),4521-4524. |
| MLA | Xu, XiaoChun,et al."Prediction of peptidase category based on functional domain composition".Journal of proteome research 7.10(2008):4521-4524. |
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来源：中国科学院大学
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