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warpDOCK: Large-Scale Virtual Drug Discovery Using Cloud Infrastructure.

Daniel P McDougal1, Harinda Rajapaksha2, Jordan L Pederick1

  • 1Institute for Photonics and Advanced Sensing, (IPAS), School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia.

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Summary
This summary is machine-generated.

warpDOCK is an open-source pipeline for cloud-based virtual drug discovery. It enables rapid, cost-effective screening of massive chemical libraries to accelerate the identification of potential drug candidates.

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • Virtual screening is crucial for identifying drug candidates.
  • Large-scale chemical library screening is computationally intensive.
  • Cloud computing offers scalable resources for complex calculations.

Purpose of the Study:

  • To introduce warpDOCK, an open-source pipeline for virtual small-molecule drug discovery.
  • To leverage cloud infrastructure for parallelized docking calculations.
  • To make large-scale virtual screening accessible and cost-effective.

Main Methods:

  • Developed warpDOCK pipeline optimized for Oracle Cloud Infrastructure (OCI).
  • Implemented harmonious parallelism for docking across thousands of cores.
  • Automated the virtual screening process using established docking software.

Main Results:

  • Enabled cost-effective sampling of ultra-large chemical libraries.
  • Potential to reduce drug candidate identification time by orders of magnitude.
  • Demonstrated accessibility of large-scale virtual screening to a wider user group.

Conclusions:

  • warpDOCK significantly enhances the efficiency and scalability of virtual drug discovery.
  • The pipeline facilitates rapid identification of lead compounds through massive data processing.
  • Open-source availability promotes broader adoption in computational drug discovery.