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Struct2Query: Structure-Guided Virtual Screening via Composite-Molecule ROCS Queries Derived from Protein Pocket

Kirill Shmilovich1, Patricia Suriana1, Vishnu Sresht1

  • 1Prescient Design, Genentech, South San Francisco, California 94080-4990, United States.

Journal of Chemical Information and Modeling
|April 13, 2026
PubMed
Summary
This summary is machine-generated.

Struct2Query converts protein pockets into chemical structure queries for rapid screening. This structure-informed method enhances drug discovery by improving chemotype coverage and matching the speed of ligand-based approaches.

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Structural biology

Background:

  • Ligand-based virtual screening (e.g., ROCS) is fast but requires known actives, limiting scope.
  • Structure-based docking is less constrained but computationally expensive for large libraries.
  • Bridging these methods is crucial for efficient, broad-spectrum virtual screening.

Purpose of the Study:

  • To introduce Struct2Query, a novel workflow for structure-informed virtual screening.
  • To enable rapid exploration of chemical libraries using protein pocket information.
  • To overcome limitations of existing ligand-based and structure-based screening methods.

Main Methods:

  • Struct2Query converts protein pockets into composite-molecule ROCS queries.
  • Utilizes OpenEye SiteHopper to find analogous protein pockets in a large crystallographic database.
  • Generates ensemble binding hypotheses by transplanting ligands and retaining all features for ROCS queries.

Main Results:

  • Struct2Query matches or exceeds performance of Glide and HYBRID docking on DEKOIS 2.0 and DUDE-Z datasets.
  • Achieves throughput compatible with GPU-accelerated FastROCS, maintaining ligand-centric speed.
  • Demonstrates improved scaffold diversity and chemotype coverage compared to single-ligand ROCS screening.

Conclusions:

  • Struct2Query effectively bridges structure-based and ligand-based virtual screening.
  • Offers a scalable and efficient method for structure-informed drug discovery.
  • Enhances hit list diversity, enabling broader exploration of chemical space.