The biological activity analysis system of compound based on Hadoop
Li Jiehui, Zhang, Chen Jian, nam Peng
Through the virtual screening of drugs, it was found that in the process of bioactive compounds, the similarity of small molecular structure was complicated. In this paper, a parallel computing model based on Hadoop is proposed, which is implemented by the Hadoop tool, combined with the MapReduce model. At the same time, the method is improved according to the uneven partitioning algorithm of Hadoop and the repetitive computation of fault-tolerant function. The experimental results show that the method has an average acceleration efficiency of 0.91, and has good reliability and expansibility.
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