FunSAV: Predicting the Functional Effect of Single Amino Acid Variants Using a Two-Stage Random Forest Model

• 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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• Xing-Ming Zhao,

  Affiliation Department of Computer Science, School of Electronics and Information Engineering, Tongji University, Shanghai, China

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• Kazuhiro Takemoto,

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

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• Haisong Xu,

  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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• Yuan Li,

  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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• Tatsuya Akutsu,

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

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• Jiangning Song

  * E-mail: Jiangning.Song@monash.edu

  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, Monash University, Melbourne, Australia

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