Virtual screening (VS) is a advanced technology to find some potential drugs from a large scale of small molecules, which will generate intensive results data. The data processing in VS is a key problem because of its scale. In the present work, we performed a study of exploiting MapReduce computing model to Parallel Process of Virtual Screening Result File. The results showed that it costs much less time using the combined methods. Hence, we recommend the efficient methods to process the results from large scale virtual screening. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Ma, N., Hu, R., & Zhang, R. (2013). Parallel process of virtual screening result file based on hadoop. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7929 LNCS, pp. 511–517). Springer Verlag. https://doi.org/10.1007/978-3-642-38715-9_61
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