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International Conference on Intelligent Computing

ICIC 2018: Intelligent Computing Theories and Application pp 232–240Cite as

RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10955))

Abstract

The self-interacting proteins (SIPs) plays a significant part in the organism and the regulation of cellular functions. Thence, we developed an effective algorithm to predict SIPs, named RP-FIRF, which merges the Random Projection (RP) classifier and Finite Impulse Response Filter (FIRF) together. More specifically, the Position Specific Scoring Matrix (PSSM) was firstly converted from protein sequence by exploiting Position Specific Iterated BLAST (PSI-BLAST). Then, we obtained the same size of matrix by implementing a valid matrix multiplication on PSSM, and applied FIRF approach to calculate the eigenvalues of each protein. The Principal Component Analysis (PCA) approach is used to extract the most relevant information. Finally, the performance of the proposed method is performed on human dataset. The results show that our model can achieve high average accuracies of 97.89% on human dataset using the 5-fold cross-validation, which demonstrate that our method is a useful tool for identifying SIPs.

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Authors and Affiliations

  1. The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China

    Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang & Xiao Li

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Zhan-Heng Chen, Zhu-Hong You & Yan-Bin Wang

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  1. Zhan-Heng Chen
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  2. Zhu-Hong You
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  3. Li-Ping Li
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  4. Yan-Bin Wang
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  5. Xiao Li
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Correspondence to Zhu-Hong You .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Wuhan University of Science and Technology, Wuhan City, China

    Xiao-Long Zhang

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Chen, ZH., You, ZH., Li, LP., Wang, YB., Li, X. (2018). RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter. In: Huang, DS., Jo, KH., Zhang, XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10955. Springer, Cham. https://doi.org/10.1007/978-3-319-95933-7_29

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  • DOI: https://doi.org/10.1007/978-3-319-95933-7_29

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