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Parallel Process of Virtual Screening Result File Based on Hadoop

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Advances in Swarm Intelligence (ICSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7929))

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Abstract

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.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China

    Ning Ma, Rongjing Hu & Ruisheng Zhang

Authors
  1. Ning Ma
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  2. Rongjing Hu
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  3. Ruisheng Zhang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), School of lectronics Engineering and Computer Science, Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 215123, Suzhou, China

    Yuhui Shi

  3. Automation College, Harbin Engineering University, 150001, Harbin, China

    Hongwei Mo

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Ma, N., Hu, R., Zhang, R. (2013). Parallel Process of Virtual Screening Result File Based on Hadoop. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_61

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  • DOI: https://doi.org/10.1007/978-3-642-38715-9_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38714-2

  • Online ISBN: 978-3-642-38715-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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