High-throughput virtual molecular docking: Hadoop implementation of AutoDock4 on a private cloud

Sally R. Ellingson, Jerome Baudry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

Virtual molecular docking is a computational method used in computer-aided drug discovery that calculates the binding affinity of a small molecule drug candidate to a target protein and greatly reduces the time and cost of suggesting new potential pharmaceuticals. This high-throughput screening is a task parallel process and therefore well suited for distributed computing. In this study, we use the open source Hadoop framework implementing the MapReduce paradigm for distributed computing on a cloud platform and the widely used molecular docking program AutoDock. Our high-throughput virtual docking implementation, AutoDockCloud, showed a speed-up of 450 on Kandinsky, a cloud computer located at Oak Ridge National Laboratory.

Original languageEnglish
Title of host publicationECMLS'11 - Proceedings of the 2nd International Workshop on Emerging Computational Methods for the Life Sciences
Pages33-38
Number of pages6
DOIs
StatePublished - 2011
Event2nd International Workshop on Emerging Computational Methods for the Life Sciences, ECMLS'11, Co-located with 20th International ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC 2011 - San Jose, CA, United States
Duration: Jun 8 2011Jun 8 2011

Publication series

NameECMLS'11 - Proceedings of the 2nd International Workshop on Emerging Computational Methods for the Life Sciences

Conference

Conference2nd International Workshop on Emerging Computational Methods for the Life Sciences, ECMLS'11, Co-located with 20th International ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC 2011
Country/TerritoryUnited States
CitySan Jose, CA
Period6/8/116/8/11

Keywords

  • Cloud computing
  • Drug discovery
  • Hadoop
  • High-throughput virtual docking

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Applied Mathematics

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