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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
367-370,379

Novel algorithm prediction of essential proteins based on dynamic weighted PPI network

Yang Shuxin
Lu Jihua
Tang Darong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0707

Abstract

Compared with static PPI network, the dynamic PPI network can reflect the real situation of interactions among proteins and effectively reduce the false negation in PPI network. Most of the existing methods are based on static PPI network, which neglect the inherent dynamics of PPI network. To effectively predict the essential proteins, this paper extracted the dynamic information of proteins from gene expression data and integrated with static PPI network to construct dynamic PPI, then weighting the interaction between proteins based on GO term similarity and introduced a new method named DWE. This method assessed the important of one protein through the ratio of the sum of the dynamic weighted edge connecting this protein and the number of temporal networks that contained this protein. The result shows that dynamic weighted PPI network help to improve the prediction accuracy of essential proteins and DWE outperforms other methods.

Foundation Support

国家自然科学基金资助项目(61662028,41362015)
江西省教育厅重点科技项目(GJJ161566)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0707
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 367-370,379
Serial Number: 1001-3695(2019)02-012-0367-04

Publish History

[2019-02-05] Printed Article

Cite This Article

杨书新, 鲁纪华, 汤达荣. 基于动态加权PPI网络的关键蛋白质识别算法 [J]. 计算机应用研究, 2019, 36 (2): 367-370,379. (Yang Shuxin, Lu Jihua, Tang Darong. Novel algorithm prediction of essential proteins based on dynamic weighted PPI network [J]. Application Research of Computers, 2019, 36 (2): 367-370,379. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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