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Essential Proteins Identification Based on Integrated Network

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Intelligent Computing Theories and Application (ICIC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12463))

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Abstract

Identifying essential proteins is important for understanding cellular life and pathogenic mechanisms. In addition to experimental methods, many computing approaches have been employed to identify essential proteins. Many of these methods usually consider the topological structure of the protein-protein interaction network (PPIN). However, the fact that the PPIN includes many false negative interactions is ignored. In this paper, an integrated PPIN that considers protein interactions and gene co-expression is presented. With more false negative interactions being considered, more meaningful essential proteins can be identified on the integrated PPIN. To verify the performance of this method, an experiment is carried out on data from Saccharomyces cerevisiae. The results demonstrate that ITPPIN can identify essential proteins is more effective than PPIN.

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Acknowledgment

This work was supported in part by the NSFC under grant Nos. 61872220, and 61873001.

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Authors and Affiliations

  1. School of Information Science and Engineering, Qufu Normal University, Rizhao, 276826, China

    Chang-Gang Wen, Jin-Xing Liu, Juan Wang & Yun Fang

  2. Shandong Vocational and Technical University of International Studies, Rizhao, 276826, China

    Lei Qin

Authors
  1. Chang-Gang Wen
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  2. Jin-Xing Liu
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  3. Lei Qin
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  4. Juan Wang
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  5. Yun Fang
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Corresponding author

Correspondence to Yun Fang .

Editor information

Editors and Affiliations

  1. Institute of Machine Learning and Systems Biology, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, UK

    Abir Hussain

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Wen, CG., Liu, JX., Qin, L., Wang, J., Fang, Y. (2020). Essential Proteins Identification Based on Integrated Network. In: Huang, DS., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2020. Lecture Notes in Computer Science(), vol 12463. Springer, Cham. https://doi.org/10.1007/978-3-030-60799-9_7

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  • DOI: https://doi.org/10.1007/978-3-030-60799-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60798-2

  • Online ISBN: 978-3-030-60799-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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