Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information.

The knowledge of DNA-binding proteins would help to understand the functions of proteins better in cellular biological processes. Research on the prediction of DNA-binding proteins can promote the research of drug proteins and computer acidified drugs. In recent years, methods based on machine learn...

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Published in:BioMed Research International pp. 1 - 10
Main Authors: Lu, Weizhong, Song, Zhengwei, Ding, Yijie, Wu, Hongjie, Cao, Yan, Zhang, Yu, Li, Haiou
Format: equations & formulas research tables/charts Journal Article
Published: Wiley-Blackwell 7/28/2020
Online Access:View this record in EBSCOhost
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      pub: Wiley-Blackwell
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        10.1155/2020/6984045
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        atl: Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information.
      aug:
        au:
          Lu, Weizhong
          Song, Zhengwei
          Ding, Yijie
          Wu, Hongjie
          Cao, Yan
          Zhang, Yu
          Li, Haiou
        affil: School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
      sug:
        subj:
          DNA-Binding Proteins Analysis
          Support Vector Machine
          Human
          Benchmarking
          Machine Learning
      ab: The knowledge of DNA-binding proteins would help to understand the functions of proteins better in cellular biological processes. Research on the prediction of DNA-binding proteins can promote the research of drug proteins and computer acidified drugs. In recent years, methods based on machine learning are usually used to predict proteins. Although great predicted performance can be achieved via current methods, researchers still need to invest more research in terms of the improvement of predicted performance. In this study, the prediction of DNA-binding proteins is studied from the perspective of evolutionary information and the support vector machine method. One machine learning model for predicting DNA-binding proteins based on evolutionary features by using Chou's 5-step rule is put forward. The results show that great predicted performance is obtained on benchmark dataset PDB1075 and independent dataset PDB186, achieving the accuracy of 86.05% and 75.30%, respectively. Thus, the method proposed is comparable to a certain degree, and it may work even better than other methods to some extent.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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