Prediction of protein structural classes by a new measure of information discrepancy
文献类型：期刊论文
| 作者 | Jin, LX; Fang, WW; Tanga, HW |
| 刊名 | COMPUTATIONAL BIOLOGY AND CHEMISTRY
 |
| 出版日期 | 2003-07-01 |
| 卷号 | 27期号:3页码:373-380 |
| 关键词 | protein structural class FDOD measure amino acid composition subsequence distribution |
| ISSN号 | 1476-9271 |
| DOI | 10.1016/S1476-9271(02)00087-7 |
| 英文摘要 | Since it was observed that the structural class of a protein is related to its amino acid composition, various methods based on amino acid composition have been proposed to predict protein structural classes. Though those methods are effective to some degree, their predictive quality is confined because amino acid composition cannot sufficiently include the information of protein sequences. In this paper, a measure of information discrepancy is applied to the prediction of protein structural classes; different from the previous methods, this new approach is based on the comparisons of subsequence distributions; therefore, the effect of residue order on protein structure is taken into account. The predictive results of the new approach on the same data set are better than those of the previous methods. As to a data set of 1401 sequences with no more than 30% redundancy, the overall correctness rates of resubstitution test and Jackknife test are 99.4 and 75.02%, respectively, and to other data sets the similar results are also obtained. All tests demonstrate that the residue order along protein sequences plays an important role on recognition of protein structural classes, especially for alpha/beta proteins and alpha+beta proteins. In addition, the tests also show that the new method is simple and efficient. (C) 2002 Elsevier Science Ltd. All rights reserved. |
| WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000185633200020 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/18857]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Fang, WW |
| 作者单位 | 1.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China 2.Dalian Univ Technol, Inst Computat Biol & Bioinformat, Dalian 116025, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin, LX,Fang, WW,Tanga, HW. Prediction of protein structural classes by a new measure of information discrepancy[J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY,2003,27(3):373-380. |
| APA | Jin, LX,Fang, WW,&Tanga, HW.(2003).Prediction of protein structural classes by a new measure of information discrepancy.COMPUTATIONAL BIOLOGY AND CHEMISTRY,27(3),373-380. |
| MLA | Jin, LX,et al."Prediction of protein structural classes by a new measure of information discrepancy".COMPUTATIONAL BIOLOGY AND CHEMISTRY 27.3(2003):373-380. |
入库方式： OAI收割
来源：数学与系统科学研究院
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