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Review of Important Protein Search Algorithms

Published: 27 August 2018 Publication History
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  • Abstract

    Research on the PPI (Protein-Protein interaction) network enables the diagnosis of diseases to proceed smoothly. In recent years, people have made great efforts to identify cluster in the protein interaction network, and many clustering algorithms are applied to PPI networks. A good clustering algorithm directly affects the development of proteomics. This article reviews several important protein search algorithms with high accuracy.

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    Li M, Zhang H, Wang J, et al. A new essential protein discovery method based on the integration of protein---protein interaction and gene expression data{J}. BMC systems biology,2012, 6:1.
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    Li M, Zheng R, Zhang H, et a1. Effective identification of essential proteins based on prior knowledge, network topology and gene expressions{J}.Methods,2014,67: 325--333.
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    Peng W, Wang J, Cheng Y, et a1.UDoNC:an algorithm for identifying essential proteins based on protein domains and protein---protein interaction networks{J}. IEEE / ACM Transactions on Computational Biology and Bioinformatics(TCBB),2015, 12:276--288.
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    Schulz G E, Schirmer R H. Principles of protein structure{M}.Springer Science & Business Media, 2013.
    1. Review of Important Protein Search Algorithms

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      cover image ACM Other conferences
      ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing
      August 2018
      402 pages
      ISBN:9781450365291
      DOI:10.1145/3271553
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 27 August 2018

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      Author Tags

      1. PPI
      2. PeC
      3. Protein Search Algorithms

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      ICVISP 2018

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      Overall Acceptance Rate 186 of 424 submissions, 44%

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