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Research Article

An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins

  • Cheng Zheng equal contributor,

    equal contributor Contributed equally to this work with: Cheng Zheng, Mingjun Wang

    Affiliation: National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China

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  • Mingjun Wang equal contributor,

    equal contributor Contributed equally to this work with: Cheng Zheng, Mingjun Wang

    Affiliation: National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China

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  • Kazuhiro Takemoto,

    Affiliation: Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan

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  • Tatsuya Akutsu,

    Affiliation: Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan

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  • Ziding Zhang mail,

    zidingzhang@cau.edu.cn (ZZ); Jiangning.Song@monash.edu (JS)

    Affiliation: State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China

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  • Jiangning Song mail

    zidingzhang@cau.edu.cn (ZZ); Jiangning.Song@monash.edu (JS)

    Affiliations: National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China, Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan, Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Melbourne, Victoria, Australia

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  • Published: November 14, 2012
  • DOI: 10.1371/journal.pone.0049716

About the Authors

Cheng Zheng, Mingjun Wang, Jiangning Song
National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
Kazuhiro Takemoto
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka, Japan
Tatsuya Akutsu, Jiangning Song
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan
Ziding Zhang
State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
Jiangning Song
Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Melbourne, Victoria, Australia

Corresponding Authors

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: ZZ JS. Performed the experiments: CZ MW. Analyzed the data: CZ MW. Contributed reagents/materials/analysis tools: KT TA. Wrote the paper: CZ JS.