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Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source
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Library screening by fragment-based docking.

Danzhi Huang1, Amedeo Caflisch

  • 1Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland.

Journal of Molecular Recognition : JMR
|September 1, 2009
PubMed
Summary
This summary is machine-generated.

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Computational tools for fragment-based docking identified several low-micromolar inhibitors for enzymes like proteases and protein kinases. Further optimization is needed to find submicromolar inhibitors due to chemical space limitations and method approximations.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Biochemistry

Background:

  • High-throughput screening (HTS) is crucial for identifying novel drug candidates.
  • Fragment-based docking offers a computational approach to screen large compound libraries.
  • Enzyme inhibitors are vital for treating various diseases.

Purpose of the Study:

  • To review computational tools for fragment-based docking in high-throughput screening.
  • To present applications of these tools to various enzyme targets.
  • To identify potential low-micromolar inhibitors for proteases and protein kinases.

Main Methods:

  • Fragment-based docking of large small-molecule collections.
  • Application of computational tools to six different enzymes (four proteases, two protein kinases).

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  • Analysis of screening campaign results.

    • Main Results:

    • Discovery of several low-micromolar inhibitors across all high-throughput docking campaigns.
    • Successful identification of inhibitors for multiple protease and protein kinase targets.
    • Demonstration of the utility of fragment-based docking in drug discovery.

    Conclusions:

    • Fragment-based docking is an effective strategy for discovering low-micromolar enzyme inhibitors.
    • Limitations in chemical space coverage and scoring approximations may hinder the discovery of submicromolar inhibitors.
    • Future work should focus on expanding chemical libraries and refining computational methods for enhanced inhibitor potency.