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Community benchmarks for virtual screening.

John J Irwin1

  • 1Department of Pharmaceutical Chemistry, University of California San Francisco, PO Box 2550, Byers Hall, San Francisco, CA 94158-2330, USA. jji@cgl.ucsf.edu

Journal of Computer-Aided Molecular Design
|February 15, 2008
PubMed
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A new Directory of Useful Decoys (DUD) was created to benchmark virtual screening. This large dataset helps assess docking performance while avoiding bias from simple feature differences, improving computational drug discovery.

Area of Science:

  • Computational chemistry
  • Cheminformatics
  • Drug discovery

Background:

  • Ligand enrichment is crucial for virtual screening success.
  • Decoys should mimic ligands physically to prevent biased benchmarking.
  • Current benchmarking methods may have limitations.

Purpose of the Study:

  • To introduce the Directory of Useful Decoys (DUD) for benchmarking docking performance.
  • To provide a comprehensive dataset for evaluating virtual screening tools.
  • To identify potential biases and limitations in virtual screening benchmarks.

Main Methods:

  • Created DUD with 2950 annotated ligands and 95,316 property-matched decoys for 40 targets.
  • Selected decoys based on physical resemblance to ligands, not topological similarity.

Related Experiment Videos

  • Designed DUD to assess docking performance and virtual screening enrichment.

    • Main Results:

    • DUD is the largest public dataset for virtual screening benchmarking.
    • The dataset facilitates the evaluation of docking software strengths and weaknesses.
    • Identified risks of over-optimization and chemical space limitations in benchmarking.

    Conclusions:

    • DUD offers a robust resource for virtual screening benchmarking.
    • Careful benchmark composition and usage are essential to avoid bias and overfitting.
    • Attention to DUD's scope and potential pitfalls is necessary for reliable results.