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Performance studies on distributed virtual screening.

Jens Krüger1, Richard Grunzke2, Sonja Herres-Pawlis3

  • 1Center for Bioinformatics, Quantitative Biology Center, and Department of Computer Science, University of Tübingen, Sand 14, 72076 Tübingen, Germany.

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Summary
This summary is machine-generated.

This study optimizes virtual high-throughput screening (vHTS) by parallelizing docking runs on distributed computing infrastructures. Parallel processing significantly accelerates drug discovery campaigns by enabling near-linear scaling up to 500 concurrent processes.

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • Virtual high-throughput screening (vHTS) is crucial for identifying potential drug candidates.
  • Traditional docking simulations often run sequentially, limiting screening efficiency.
  • Parallelization strategies are needed to handle large chemical datasets in drug discovery.

Purpose of the Study:

  • To determine the optimal data splitting strategy for parallelizing vHTS.
  • To maximize speedup in docking workflows considering computational overhead and available resources.
  • To enhance the efficiency of drug discovery pipelines using Distributed Computing Infrastructures (DCIs).

Main Methods:

  • Developed and evaluated parallelized docking workflows.
  • Utilized the MoSGrid (Molecular Simulation Grid) science gateway for performance studies.
  • Incorporated structure preparation and docking runtimes into performance analysis.
  • Tested workflows on benchmark datasets for protein kinases.

Main Results:

  • Achieved near-linear scaling for docking workflows up to 500 concurrent processes.
  • Demonstrated effective parallelization across large DCIs.
  • Significantly accelerated vHTS campaigns through optimized parallel processing.

Conclusions:

  • Parallelizing vHTS workflows on DCIs offers substantial speedup for drug discovery.
  • Optimal data chunking and resource allocation are key to efficient vHTS.
  • This approach significantly enhances the throughput of virtual screening campaigns.