Function prediction for DNA-/RNA-binding proteins, GPCRs, and drug ADME-associated proteins by SVM
文献类型：期刊论文
| 作者 | Cai, Congzhong1; Xiao, Hanguang1,2; Yuan, Qianfei1; Liu, Xinghua1; Wen, Yufeng1 |
| 刊名 | PROTEIN AND PEPTIDE LETTERS
 |
| 出版日期 | 2008-06-01 |
| 卷号 | 15期号:5页码:463-468 |
| 关键词 | Protein Function Prediction Dna-binding Proteins Rna-binding Proteins G-protein Coupled Receptors (Gpcrs) Drug Absorption Proteins Drug Metabolizing Enzymes Drug Distribution And Excretion Proteins Support Vector Machine (Svm) |
| ISSN号 | 0929-8665 |
| 英文摘要 | This paper explores the use of support vector machine (SVM) for protein function prediction. Studies are conducted on several groups of proteins with different functions including DNA-binding proteins, RNA-binding proteins, G-protein coupled receptors, drug absorption proteins, drug metabolizing enzymes, drug distribution and excretion proteins. The computed accuracy for the prediction of these proteins is found to be in the range of 82.32% to 99.7%, which illustrates the potential of SVM in facilitating protein function prediction. |
| 语种 | 英语 |
| WOS记录号 | WOS:000257467200007 |
| 出版者 | BENTHAM SCIENCE PUBL LTD |
| 源URL | [http://ir.iccas.ac.cn/handle/121111/64529]  |
| 专题 | 中国科学院化学研究所 |
| 通讯作者 | Cai, Congzhong |
| 作者单位 | 1.Chongqing Univ, Dept Appl Phys, Chongqing 400044, Peoples R China 2.Chongqing Inst Technol, Dept Appl Phys, Chongqing 400054, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cai, Congzhong,Xiao, Hanguang,Yuan, Qianfei,et al. Function prediction for DNA-/RNA-binding proteins, GPCRs, and drug ADME-associated proteins by SVM[J]. PROTEIN AND PEPTIDE LETTERS,2008,15(5):463-468. |
| APA | Cai, Congzhong,Xiao, Hanguang,Yuan, Qianfei,Liu, Xinghua,&Wen, Yufeng.(2008).Function prediction for DNA-/RNA-binding proteins, GPCRs, and drug ADME-associated proteins by SVM.PROTEIN AND PEPTIDE LETTERS,15(5),463-468. |
| MLA | Cai, Congzhong,et al."Function prediction for DNA-/RNA-binding proteins, GPCRs, and drug ADME-associated proteins by SVM".PROTEIN AND PEPTIDE LETTERS 15.5(2008):463-468. |
入库方式： OAI收割
来源：化学研究所
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