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    题名: Prediction of Protein Functions based on Function-function Correlation Relations
    作者: 吳家樂;Ng, Ka-Lok;Ciou, J-S;邱金水;黃建宏;C.H.Huang
    贡献者: 生物與醫學資訊學系
    关键词: Protein–protein interaction;Protein function;Protein function–function correlation;Yeast protein function prediction
    日期: 2010-03
    上传时间: 2012-11-23 17:16:26 (UTC+8)
    摘要: "A protein function pair approach, based on protein–protein interaction (PPI) data, is proposed to predict protein functions. Randomization tests are performed on the PPI dataset, which resulted in a protein function correlation scoring value which is used to rank the relative importance of a function pair. It has been found that certain classes of protein functions tend to be correlated together. Scoring values of these correlation pairs allow us to predict the functionality of a protein given that it interacts with proteins having well-defined function annotations.

    The jackknife test is used to validate the function pair method. The protein function pair approach achieves a prediction sensitivity comparable to an approach using more sophisticated method. The main advantages of this approach are as follows: (i) a set of function–function correlation relations are derived and intuitive biological interpretation can be achieved, and (ii) its simplicity, only two parameters are needed."
    显示于类别:[生物資訊與醫學工程學系 ] 期刊論文


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